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Alexis Pereda 2021-05-10 18:11:23 +02:00
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build/
debug/
clang/
release/
.old
*.pyc

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cmake_minimum_required(VERSION 3.0)
get_filename_component(project_name ${CMAKE_CURRENT_SOURCE_DIR} NAME)
project(${project_name})
set(EXTENSION "cpp")
set(CMAKE_C_STANDARD 99)
set(CMAKE_CXX_STANDARD 14)
set(GEN_BINARY OFF)
set(GEN_LIBRARY OFF)
set(LIB_TYPE STATIC) # NONE, STATIC, SHARED, MODULE
set(LIBS_TYPE STATIC)
set(FLAGS_ANY "-Wall -Wextra -fopenmp -Winline -Wfatal-errors")
set(FLAGS_DEBUG "-DDEBUG -Og -g -fsanitize=thread")
set(FLAGS_RELEASE "-DNDEBUG -O2")
set(SRCDIRS src)
set(LIBSDIRS libsrc)
set(TESTSDIRS tests)
set(EXAMPLESDIRS examples benchmarks)
set(MANDIR man)
set(INCLUDE_DIRS inc)
set(LIBRARIES "")
set(USER_LIBRARIES "")
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${FLAGS_ANY}")
set(CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG} ${FLAGS_ANY} ${FLAGS_DEBUG}")
set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} ${FLAGS_ANY} ${FLAGS_RELEASE}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${FLAGS_ANY}")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} ${FLAGS_ANY} ${FLAGS_DEBUG}")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} ${FLAGS_ANY} ${FLAGS_RELEASE}")
if(USE_SANITIZER STREQUAL "Address")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=address")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=address")
elseif(USE_SANITIZER STREQUAL "Leak")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=leak")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=leak")
elseif(USE_SANITIZER STREQUAL "Thread")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=thread")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=thread")
elseif(USE_SANITIZER STREQUAL "Undefined")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fsanitize=undefined")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=undefined")
endif()
## Libraries
if(NOT ${LIB_TYPE} MATCHES "^NONE$")
# Project library
if(GEN_LIBRARY)
set(lib_src "")
foreach(srcdir ${SRCDIRS})
set(srcpath ${CMAKE_CURRENT_SOURCE_DIR}/${srcdir})
file(GLOB_RECURSE tmpsrc ${srcpath}/*.${EXTENSION})
list(APPEND lib_src ${tmpsrc})
endforeach()
set(lib ${PROJECT_NAME})
if(lib_src)
message(STATUS "+ Library: ${lib}")
add_library(${lib} ${LIB_TYPE} ${lib_src})
target_include_directories(${lib} PUBLIC ${INCLUDE_DIRS})
target_link_libraries(${lib} ${LIBRARIES})
list(APPEND USER_LIBRARIES ${lib})
else()
message(WARNING "! Library ${lib}: no sources")
endif()
endif()
endif()
## Other libraries
if(NOT ${LIBS_TYPE} MATCHES "^NONE$")
foreach(libsdir ${LIBSDIRS})
set(libspath ${CMAKE_CURRENT_SOURCE_DIR}/${libsdir})
file(GLOB libs RELATIVE ${libspath} ${libspath}/*)
if(libs)
foreach(child ${libs})
set(lib "")
if(IS_DIRECTORY ${libspath}/${child})
set(lib ${child})
file(GLOB_RECURSE lib_src ${libspath}/${child}/*.${EXTENSION})
else()
message(WARNING "! Ignoring file: ${libsdir}/${child}")
endif()
if(lib)
if(lib_src)
message(STATUS "+ Library: ${lib}")
add_library(${lib} ${LIBS_TYPE} ${lib_src})
target_include_directories(${lib} PUBLIC ${INCLUDE_DIRS})
target_link_libraries(${lib} ${LIBRARIES})
list(APPEND USER_LIBRARIES ${lib})
else()
message(WARNING "! Library ${lib}: no sources")
endif()
endif()
endforeach()
endif()
endforeach()
endif()
## Binary
if(GEN_BINARY)
set(src "")
foreach(srcdir ${SRCDIRS})
set(srcpath ${CMAKE_CURRENT_SOURCE_DIR}/${srcdir})
file(GLOB_RECURSE tmpsrc ${srcpath}/*.${EXTENSION})
list(APPEND src ${tmpsrc})
endforeach()
set(bin ${PROJECT_NAME})
if(src)
if(GEN_LIBRARY)
set(bin ${bin}.bin)
endif()
message(STATUS "+ Binary: ${bin}")
add_executable(${bin} ${src})
target_include_directories(${bin} PUBLIC ${LIBSDIRS} ${INCLUDE_DIRS})
target_link_libraries(${bin} ${LIBRARIES} ${USER_LIBRARIES})
else()
message(WARNING "! Binary ${bin}: no sources")
endif()
endif()
## Tests
foreach(testsdir ${TESTSDIRS})
set(testspath ${CMAKE_CURRENT_SOURCE_DIR}/${testsdir})
file(GLOB_RECURSE tests_src ${testspath}/*.${EXTENSION})
if(tests_src)
set(tests ${testsdir}_${PROJECT_NAME})
message(STATUS "+ Tests: ${tests}")
add_executable(${tests} ${tests_src})
target_include_directories(${tests} PUBLIC ${SRCDIRS} ${LIBSDIRS} ${INCLUDE_DIRS})
target_link_libraries(${tests} ${LIBRARIES} ${USER_LIBRARIES})
endif()
endforeach()
## Examples
foreach(examplesdir ${EXAMPLESDIRS})
set(examplespath ${CMAKE_CURRENT_SOURCE_DIR}/${examplesdir})
file(GLOB examples RELATIVE ${examplespath} ${examplespath}/*)
if(examples)
foreach(child ${examples})
set(example_bin_filename "")
set(example "")
if(IS_DIRECTORY ${examplespath}/${child})
set(example_bin_filename ${child})
set(example ${examplesdir}_${example_bin_filename})
file(GLOB_RECURSE example_src ${examplespath}/${child}/*.${EXTENSION})
else()
get_filename_component(extension ${child} EXT)
if(${extension} MATCHES "^.${EXTENSION}$")
get_filename_component(example_name ${child} NAME_WE)
set(example_bin_filename ${example_name})
set(example ${examplesdir}_${example_bin_filename})
set(example_src ${examplespath}/${child})
endif()
endif()
if(example)
if(example_src)
message(STATUS "+ Example: ${examplesdir}/${example}")
add_executable(${example} ${example_src})
target_include_directories(${example} PUBLIC ${SRCDIRS} ${LIBSDIRS} ${INCLUDE_DIRS})
target_link_libraries(${example} ${LIBRARIES} ${USER_LIBRARIES})
set_target_properties(${example} PROPERTIES RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/${examplesdir})
set_target_properties(${example} PROPERTIES OUTPUT_NAME ${example_bin_filename})
else()
message(WARNING "! Example ${example}: no sources")
endif()
endif()
endforeach()
endif()
endforeach()
## Man pages
set(MANPATH ${CMAKE_CURRENT_SOURCE_DIR}/${MANDIR})
set(MAN_OUTPATH ${CMAKE_BINARY_DIR}/deb/usr/share/man)
file(GLOB_RECURSE man_src RELATIVE ${MANPATH} ${MANPATH}/*)
if(man_src)
set(man_outfiles "")
foreach(man_file IN LISTS man_src)
set(man_outfile ${MAN_OUTPATH}/${man_file}.gz)
get_filename_component(man_outdir ${man_outfile} DIRECTORY)
list(APPEND man_outfiles ${man_outfile})
message(STATUS "+ manpage: ${man_file}")
add_custom_command(OUTPUT ${man_outfile}
COMMAND ${CMAKE_COMMAND} -E make_directory ${man_outdir}
COMMAND ${CMAKE_COMMAND} -E copy ${MANPATH}/${man_file} ${MAN_OUTPATH}/${man_file}
COMMAND gzip -f ${MAN_OUTPATH}/${man_file}
DEPENDS ${MANPATH}/${man_file})
endforeach()
add_custom_target(man ALL DEPENDS ${man_outfiles})
endif()

674
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GNU GENERAL PUBLIC LICENSE
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How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
pfor
Copyright (C) 2021 phd / dev
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
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but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
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along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) 2021 phd / dev
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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# About
This is an active library, using C++ template metaprogramming, to automate loop parallelisation.
This work has been done for my Ph.D. thesis.
## Brief
It uses [expression templates](https://en.wikipedia.org/wiki/Expression_templates) and an [EDSL](https://en.wikipedia.org/wiki/Domain-specific_language)
to build an [AST](https://en.wikipedia.org/wiki/AST) of loops at compile-time.
This AST is analysed to determine first which instructions of a given loop are interdependent, then for each instruction group
if it can be run in parallel with itself at different iterations of the loop.
The interdependence of instructions relies on how variables are accessed (read/write).
To identify instruction groups that can be run in parallel, the library uses index functions (in array accesses) and a set of rules
depending on these functions.
According to this, the library generates sequential and/or parallel loops.
## Example
Given this source code:
```cpp
// a, b, c, d, e and f are arrays
for(int i = 0; i < n; ++i) {
a[i] = a[i] * b[i];
c[i] = c[i+1] - d[i];
b[i] = b[i] + i;
d[i] = std::pow(c[i], e[i]);
f[i*i] = 2 * f[i*i];
}
```
By writing it like this:
```cpp
// a, b, c, d, e and f are expression template operands
// pow is an automatically generated expression template function
Index i;
parallelFor(Range{0, n},
a[i] = a[i] * b[i],
c[i] = c[i+ctv<1>] + d[i],
b[i] = b[i] + i,
d[i] = pow(c[i], e[i]),
f[injective(i*i)] = 2 * f[injective(i*i)]
);
```
The library will automatically produce these two loops:
```bash
for(int i = 0; i < n; ++i) {
c[i] = c[i+1] + d[i];
d[i] = std::pow(c[i], e[i]);
}
# pragma omp parallel for
for(int i = 0; i < n; ++i) {
a[i] = a[i] * b[i];
b[i] = b[i] + i;
f[i*i] = 2 * f[i*i];
}
```
## Performances
### Compilation time
This library runs mostly during the compilation and therefore extends its duration.
We ran tests for four sets of source codes:
<ul>
<li>"dep/fixed" corresponding to dependent instructions with common index functions;
<img src="https://phd.pereda.fr/assets/pfor/ct_legend.png" width="150" align="right">
</li>
<li>"indep/fixed" corresponding to independent instructions with common index functions;</li>
<li>"dep/rand" corresponding to dependent instructions with random index functions;</li>
<li>"indep/rand" corresponding to independent instructions with random index functions.</li>
</ul>
For more specific information, see the `ctbenchmarks` directory.
The compilation time is not significantly affected by the number of loops as shown below:
<div align="center"><img src="https://phd.pereda.fr/assets/pfor/ct_var_loops.png" width="500"></div>
As expected, however, the compilation time increases (exponentially) with the number of instructions inside an unique loop:
<div align="center"><img src="https://phd.pereda.fr/assets/pfor/ct_var_instructions.png" width="500"></div>
This could be improved but was not a priority as usually a single loop does not run so many instructions.
### Execution time
The point of the library is to provide a solution to automatically run in parallel whenever possible,
not to do better than what one can expect from classic parallelisation tools like [OpenMP](https://www.openmp.org/).
In contrast, when a loop cannot be run in parallel, the library should not cause runtime overhead.
We ran tests with and without using the library:
<ul>
<li>"seq" corresponding to a sequential execution without the library;
<img src="https://phd.pereda.fr/assets/pfor/rt_legend.png" width="150" align="right">
</li>
<li>"omp" corresponding to a parallel execution without the library, using OpenMP, when applicable;</li>
<li>"gen_omp" corresponding to a parallel execution with the library generating OpenMP code;</li>
<li>"gen_thread" corresponding to a parallel execution with the library generating multi-threaded loop.</li>
</ul>
For both "gen_omp" and "gen_thread", the library will actually generate a sequential code if the loop cannot be run in parallel.
The two figures below shows that using the library does not induce significant runtime overhead, both for sequential and
parallel (with 18 cores) executions:
<div align="center"><img src="https://phd.pereda.fr/assets/pfor/rt_seq.png" width="500"></div>
<div align="center"><img src="https://phd.pereda.fr/assets/pfor/rt_par_18.png" width="500"></div>
Obtained speed up is equivalent using the library with respect to a handwritten OpenMP program:
<div align="center"><img src="https://phd.pereda.fr/assets/pfor/rt_speedup.png" width="500"></div>
## Related publications
- "Static Loop Parallelization Decision Using Template Metaprogramming", HPCS 2018 (IEEE) [10.1109/HPCS.2018.00159](https://doi.org/10.1109/HPCS.2018.00159)
## Organisation
Main directories:
- `src/pfor`: the library sources;
- `examples`: some examples using the library;
- `[cr]tbenchmarks`: scripts for compile-time/run-time benchmarking;
- `results`: results presented in the thesis, obtained using mentioned scripts and codes.
## Usage
To produce the `Makefile` and build the project:
```bash
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
make
```
To run examples:
```bash
./build/examples/${example_name}
```

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <sstream>
#include "common.h"
constexpr std::size_t K = 1'000;
std::size_t pfor::ParallelForParameters::nThreads{1};
struct Arguments {
std::size_t arraySize;
std::string method;
std::size_t sample;
};
Arguments processCLA(int argc, char** argv) {
if(argc < 4) {
std::cerr << "Usage: " << *argv << " N method #sample [nThreads]" << std::endl;
std::cerr << " N: array size (1..1000000)" << std::endl;
std::cerr << " method: {seq, omp, gen_omp, gen_thread}" << std::endl;
std::cerr << " #sample: {0: full sequential, 1: full parallel, 2: mixed sequential/parallel}" << std::endl;
std::cerr << " nThreads: defaults to 1" << std::endl;
std::exit(1);
}
Arguments args;
{
std::istringstream iss{argv[1]};
iss >> args.arraySize;
}
args.method = std::string{argv[2]};
{
std::istringstream iss{argv[3]};
iss >> args.sample;
}
if(argc >= 5) {
std::istringstream iss{argv[4]};
iss >> pfor::ParallelForParameters::nThreads;
}
if(args.arraySize < 1 || args.arraySize > 10000000) {
std::cerr << "N out of bounds" << std::endl;
std::exit(1);
}
if(args.method != "seq" && args.method != "omp" && args.method != "gen_omp" && args.method != "gen_thread") {
std::cerr << "method out of bounds" << std::endl;
std::exit(1);
}
if(args.sample > 2) {
std::cerr << "#sample out of bounds" << std::endl;
std::exit(1);
}
if(args.method == "omp" && args.sample == 0) {
std::cerr << "incoherent method/#sample" << std::endl;
std::exit(1);
}
return args;
}
using T = int;
int main(int argc, char **argv) {
Arguments args = processCLA(argc, argv);
long const N = args.arraySize;
OPERAND(T, a0, N, i++);
OPERAND(T, a1, N, i++);
OPERAND(T, a2, N, i++);
OPERAND(T, a3, N, i++);
OPERAND(T, a4, N, i++);
OPERAND(T, a5, N, i++);
OPERAND(T, a6, N, i++);
OPERAND(T, a7, N, i++);
if(args.sample == 0) {
/*
* Sample 0: sequential
*/
// arraysPrinter(K, N, a0, a1, a2, a5);
if(args.method == "seq") {
BENCH(K)
for(long i = 0; i < N-1; ++i) {
a0_[i] = a0_[i+1] + a1_[i] * a2_[i];
a1_[i] = a1_[i+1] + a2_[i] * a3_[i];
a2_[i] = a2_[i+1] + a3_[i] * a4_[i];
a5_[i] = a5_[i+1] + a6_[i] * a7_[i];
}
END_BENCH();
} else if(args.method == "gen_omp") {
BENCH(K)
pfor::parallelFor<pfor::ForLoopOMP>(pfor::Range{0, N-1}, [&](pfor::Index i) {
return
a0[i] = a0[i+_<1>] + a1[i] * a2[i],
a1[i] = a1[i+_<1>] + a2[i] * a3[i],
a2[i] = a2[i+_<1>] + a3[i] * a4[i],
a5[i] = a5[i+_<1>] + a6[i] * a7[i];
});
END_BENCH();
} else if(args.method == "gen_thread") {
BENCH(K)
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, N-1}, [&](pfor::Index i) {
return
a0[i] = a0[i+_<1>] + a1[i] * a2[i],
a1[i] = a1[i+_<1>] + a2[i] * a3[i],
a2[i] = a2[i+_<1>] + a3[i] * a4[i],
a5[i] = a5[i+_<1>] + a6[i] * a7[i];
});
END_BENCH();
}
// arraysPrinter(K, N, a0, a1, a2, a5);
} else if(args.sample == 1) {
/*
* Sample 1: parallel
*/
if(args.method == "seq") {
BENCH(K)
for(long i = 0; i < N; ++i) {
a0_[i] = a0_[i] + a1_[i] * a2_[i];
a1_[i] = a1_[i] + a2_[i] * a3_[i];
a2_[i] = a2_[i] + a3_[i] * a4_[i];
a5_[i] = a5_[i] + a6_[i] * a7_[i];
}
END_BENCH();
} else if(args.method == "omp") {
BENCH(K)
#pragma omp parallel for num_threads(pfor::ParallelForParameters::nThreads)
for(long i = 0; i < N; ++i) {
a0_[i] = a0_[i] + a1_[i] * a2_[i];
a1_[i] = a1_[i] + a2_[i] * a3_[i];
a2_[i] = a2_[i] + a3_[i] * a4_[i];
a5_[i] = a5_[i] + a6_[i] * a7_[i];
}
END_BENCH();
} else if(args.method == "gen_omp") {
BENCH(K)
pfor::parallelFor<pfor::ForLoopOMP>(pfor::Range{0, N}, [&](pfor::Index i) {
return
a0[i] = a0[i] + a1[i] * a2[i],
a1[i] = a1[i] + a2[i] * a3[i],
a2[i] = a2[i] + a3[i] * a4[i],
a5[i] = a5[i] + a6[i] * a7[i];
});
END_BENCH();
} else if(args.method == "gen_thread") {
BENCH(K)
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, N}, [&](pfor::Index i) {
return
a0[i] = a0[i] + a1[i] * a2[i],
a1[i] = a1[i] + a2[i] * a3[i],
a2[i] = a2[i] + a3[i] * a4[i],
a5[i] = a5[i] + a6[i] * a7[i];
});
END_BENCH();
}
} else if(args.sample == 2) {
/*
* Sample 2: mixed sequential and parallel
*/
// arraysPrinter(K, N, a0, a1, a2, a3, a4, a5, a6, a7);
if(args.method == "seq") {
BENCH(K)
for(long i = 0; i < N-1; ++i) {
a0_[i] = a0_[i] + a1_[i] * a2_[i];
a1_[i] = a1_[i] + a2_[i] * a3_[i];
}
for(long i = 0; i < N-1; ++i) {
a4_[i] = a4_[i+1] + a5_[i] * a7_[i];
a5_[i] = a5_[i+1] + a6_[i] * a7_[i];
}
END_BENCH();
} else if(args.method == "omp") {
BENCH(K)
#pragma omp parallel for num_threads(pfor::ParallelForParameters::nThreads)
for(long i = 0; i < N-1; ++i) {
a0_[i] = a0_[i] + a1_[i] * a2_[i];
a1_[i] = a1_[i] + a2_[i] * a3_[i];
}
// Sequential
for(long i = 0; i < N-1; ++i) {
a4_[i] = a4_[i+1] + a5_[i] * a7_[i];
a5_[i] = a5_[i+1] + a6_[i] * a7_[i];
}
END_BENCH();
} else if(args.method == "gen_omp") {
BENCH(K)
pfor::parallelFor<pfor::ForLoopOMP>(pfor::Range{0, N-1}, [&](pfor::Index i) {
return
a0[i] = a0[i] + a1[i] * a2[i],
a1[i] = a1[i] + a2[i] * a3[i],
a4[i] = a4[i+_<1>] + a5[i] * a7[i],
a5[i] = a5[i+_<1>] + a6[i] * a7[i];
});
END_BENCH();
} else if(args.method == "gen_thread") {
BENCH(K)
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, N-1}, [&](pfor::Index i) {
return
a0[i] = a0[i] + a1[i] * a2[i],
a1[i] = a1[i] + a2[i] * a3[i],
a4[i] = a4[i+_<1>] + a5[i] * a7[i],
a5[i] = a5[i+_<1>] + a6[i] * a7[i];
});
END_BENCH();
}
// arraysPrinter(K, N, a0, a1, a2, a3, a4, a5, a6, a7);
}
if(rand()==rand()) arraysPrinter(1ul, N, a0_, a1_, a2_, a3_, a4_, a5_, a6_, a7_);
END_OPERAND(a0);
END_OPERAND(a1);
END_OPERAND(a2);
END_OPERAND(a3);
END_OPERAND(a4);
END_OPERAND(a5);
END_OPERAND(a6);
END_OPERAND(a7);
}

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#ifndef PFOR_BENCHMARKS_COMMON_H
#define PFOR_BENCHMARKS_COMMON_H
#include <iostream>
#include <sys/time.h>
#include <sys/resource.h>
#include <pfor/pfor.h>
template<std::size_t n>
constexpr auto _ = pfor::ctv<n>;
using TimePoint = std::tuple<long, long>;
TimePoint timepoint() {
struct rusage usage;
getrusage(RUSAGE_SELF, &usage);
long realSec = usage.ru_utime.tv_sec + usage.ru_stime.tv_sec;
long realUsec = usage.ru_utime.tv_usec + usage.ru_stime.tv_usec;
return {realSec, realUsec};
}
double timediff(TimePoint const& from, TimePoint const& to) {
return std::get<0>(to)-std::get<0>(from) + (std::get<1>(to)-std::get<1>(from))/1'000'000.;
}
// Operand utility
#define OPERAND(Type, name, size, filler) \
Type * name##_ = new Type[size]; \
{ \
std::size_t i = 0; \
std::generate_n(name##_, size, [&i]{ return filler; }); \
} \
auto name = pfor::Operand<Type*, class ID##name>(name##_);
#define END_OPERAND(name) delete[] name##_
// Bench utility
#define BENCH(K) { \
TimePoint tp0 = timepoint(); \
for(std::size_t k_ = 0; k_ < K; ++k_) {
#define END_BENCH() } \
TimePoint tp1 = timepoint(); \
std::cout << "time: " << timediff(tp0, tp1) << std::endl; \
}
template<typename K, typename S>
void arraysPrinter(K, S) {}
template<typename K, typename S, typename T, typename... Ts>
void arraysPrinter(K k, S n, T&& array, Ts&&... arrays) {
if(k != 1) {
std::cerr << "warning: displays may be false, must set K to 1" << std::endl;
std::exit(1);
}
for(S i = 0; i < n; ++i)
std::cout << std::forward<T>(array)[i] << ", ";
std::cout << std::endl;
arraysPrinter(k, n, std::forward<Ts>(arrays)...);
}
#endif

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <sstream>
#include <cmath>
#include "common.h"
constexpr std::size_t K = 1;
constexpr long W = 100'001;
constexpr long H = 100'000;
std::size_t pfor::ParallelForParameters::nThreads{1};
struct Arguments {
std::string method;
};
Arguments processCLA(int argc, char** argv) {
if(argc < 2) {
std::cerr << "Usage: " << *argv << " method [nThreads]" << std::endl;
std::cerr << " method: {seq, omp, gen_omp, gen_thread}" << std::endl;
std::cerr << " nThreads: defaults to 1" << std::endl;
std::exit(1);
}
Arguments args;
args.method = std::string{argv[1]};
if(argc >= 3) {
std::istringstream iss{argv[2]};
iss >> pfor::ParallelForParameters::nThreads;
}
if(args.method != "seq" && args.method != "omp" && args.method != "gen_omp" && args.method != "gen_thread") {
std::cerr << "method out of bounds" << std::endl;
std::exit(1);
}
return args;
}
char r(int c) { return (c>>24&0xff); }
char g(int c) { return (c>>16&0xff); }
char b(int c) { return (c>>8&0xff); }
char a(int c) { return (c>>0&0xff); }
int main(int argc, char** argv) {
Arguments args = processCLA(argc, argv);
auto img_ = new int[W*H]; // 4 channels (rgba); W*H image
auto img = pfor::Operand<decltype(img_), class Img>{img_};
auto calc_ = [](int n, int w, int s, int e) {
auto volatile c = 0;
for(int i = 0; i < 10; ++i) ++c;
return (n+w+s+e)/4;
};
auto calc = pfor::makeOperator(calc_);
if(args.method == "seq") {
BENCH(K)
for(long i = W+1; i < (H-1)*W; i += 2) {
img_[i] = calc_(img_[i-W], img_[i-1], img_[i+W], img_[i+1]);
}
END_BENCH();
} else if(args.method == "omp") {
BENCH(K)
#pragma omp parallel for num_threads(pfor::ParallelForParameters::nThreads)
for(long i = W+1; i < (H-1)*W; i += 2) {
img_[i] = calc_(img_[i-W], img_[i-1], img_[i+W], img_[i+1]);
}
END_BENCH();
} else if(args.method == "gen_omp") {
BENCH(K)
pfor::Index i;
pfor::parallelFor<pfor::ForLoopOMP>(pfor::RangeCT<W+1, 2>{(H-1)*W},
// pfor::parallelFor<pfor::ForLoopOMP>(pfor::Range{W+1, (H-1)*W, 1},
img[i] = calc(img[i-_<W>], img[i-_<1>], img[i+_<W>], img[i+_<1>])
);
END_BENCH();
} else if(args.method == "gen_thread") {
BENCH(K)
pfor::Index i;
pfor::parallelFor<pfor::ForLoopThread>(pfor::RangeCT<W+1, 2>{(H-1)*W},
img[i] = calc(img[i-_<W>], img[i-_<1>], img[i+_<W>], img[i+_<1>])
);
END_BENCH();
}
if(rand()==rand()) {
for(long i = 0; i<W*H; ++i)
std::printf("%d,", img_[i]);
std::puts("");
}
delete[] img_;
}

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <sstream>
#include "common.h"
constexpr std::size_t K = 1'000;
std::size_t pfor::ParallelForParameters::nThreads{1};
struct Arguments {
std::size_t arraySize;
std::string method;
};
Arguments processCLA(int argc, char **argv) {
if(argc < 2) {
std::cerr << "Usage: " << *argv << " N method" << std::endl;
std::cerr << " N: array size (1..1000000)" << std::endl;
std::cerr << " method: {seq, gen}" << std::endl;
std::exit(1);
}
Arguments args;
{
std::istringstream iss{argv[1]};
iss >> args.arraySize;
}
args.method = std::string{argv[2]};
if(args.arraySize < 1 || args.arraySize > 1000000) {
std::cerr << "N out of bounds" << std::endl;
std::exit(1);
}
if(args.method != "seq" && args.method != "gen") {
std::cerr << "method out of bounds" << std::endl;
std::exit(1);
}
return args;
}
using T = int;
int main(int argc, char **argv) {
Arguments args = processCLA(argc, argv);
std::size_t const N = args.arraySize;
OPERAND(T, a0, N, i++);
OPERAND(T, a1, N, i++);
OPERAND(T, a2, N, i++);
OPERAND(T, a3, N, i++);
OPERAND(T, a4, N, i++);
OPERAND(T, a5, N, i++);
OPERAND(T, a6, N, i++);
OPERAND(T, a7, N, i++);
/*
* Sample 0: sequential
*/
// arraysPrinter(K, N, a0, a1, a2, a5);
if(args.method == "seq") {
BENCH(K)
for(std::size_t i = 0; i < N-1; ++i) {
a0_[i] = a0_[i+1] + a1_[i] * a2_[i];
a1_[i] = a1_[i+1] + a2_[i] * a3_[i];
a2_[i] = a2_[i+1] + a3_[i] * a4_[i];
a5_[i] = a5_[i+1] + a6_[i] * a7_[i];
}
END_BENCH();
} else if(args.method == "gen") {
BENCH(K)
pfor::parallelFor(pfor::Range{0, static_cast<long>(N-1)}, [&](pfor::Index i) {
return
a0[i] = a0[i+_<1>] + a1[i] * a2[i],
a1[i] = a1[i+_<1>] + a2[i] * a3[i],
a2[i] = a2[i+_<1>] + a3[i] * a4[i],
a5[i] = a5[i+_<1>] + a6[i] * a7[i];
});
END_BENCH();
}
if(rand() == rand()) arraysPrinter(1, N, a0_, a1_, a2_, a3_, a4_, a5_, a6_, a7_);
END_OPERAND(a0);
END_OPERAND(a1);
END_OPERAND(a2);
END_OPERAND(a3);
END_OPERAND(a4);
END_OPERAND(a5);
END_OPERAND(a6);
END_OPERAND(a7);
}

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build/
debug/
clang/
release/
data/
datam/
srcs/
plots/

168
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#!/bin/bash
rand() {
echo $((RANDOM%($2-$1)+$1))
}
index_expr_rand() {
echo "pfor::ctv<$(rand 0 100)>*i+pfor::ctv<$(rand 0 100)>"
}
index_expr_fixed() {
echo "pfor::ctv<3>*i+pfor::ctv<2>"
}
header() {
cat<<EOF
#include <pfor/pfor.h>
#include <cstdio>
std::size_t pfor::ParallelForParameters::nThreads = 16;
constexpr unsigned n = BUFSIZ;
int main() {
pfor::Index i;
EOF
}
footer() {
cat<<EOF
}
EOF
}
variable() {
i=$1
echo -e "\tint v${i}_[n];\tauto v${i} = pfor::Operand<int*, class TID${i}>{v${i}_};"
}
independent_with() {
index_expr_str=$1; shift
index_expr() {
eval ${index_expr_str}
}
for i in $@; do
echo -ne ",\n\t\tv${i}[$(index_expr)] = v1[$(index_expr)]"
done
}
dependent_with() {
index_expr_str=$1; shift
index_expr() {
eval ${index_expr_str}
}
ii=$1; shift
for i in $@; do
echo -ne ",\n\t\tv${i}[$(index_expr)] = v${ii}[$(index_expr)]"
ii=$i
done
}
####
fixed_count=100
fixed_var_count() {
mode=$1; shift
opening=$1; shift
index_expr_str=$1; shift
header
for i in $(seq ${fixed_count}); do
variable "${i}"
done
echo -ne "\t${opening}"
eval "${mode} '${index_expr_str}' $*"
echo -e "\n\t);"
footer
}
fixed_instr_count() {
mode=$1; shift
opening=$1; shift
index_expr_str=$1; shift
var_count=$1
[ "${mode}" = 'dependent_with' ] && vars='1 ' || vars=
ntimes=$(((fixed_count+(var_count-1)-1)/(var_count-1) - 1))
vars_last="${vars}$(seq -s' ' 2 $((fixed_count-ntimes*(var_count-1) + 1)))"
vars="${vars}$(seq -s' ' 2 ${var_count})"
header
for i in $(seq ${var_count}); do
variable "${i}"
done
echo -ne "\t${opening}"
for i in $(seq ${ntimes}); do
eval "${mode} '${index_expr_str}' ${vars}"
done
eval "${mode} '${index_expr_str}' ${vars_last}"
echo -e "\n\t);"
footer
}
fixed_instr_var_count() {
mode=$1; shift
opening=$1; shift
index_expr_str=$1; shift
loop_count=$1
[ "${mode}" = 'dependent_with' ] && first_=1 || first_=2
[ "${mode}" = 'dependent_with' ] && offset=0 || offset=-1
instr_count=$((fixed_count/loop_count))
remainder=$((fixed_count - instr_count*loop_count))
header
for i in $(seq ${fixed_count}); do
variable "${i}"
done
first=${first_}
for i in $(seq $((loop_count))); do
n=$((instr_count + ! ! remainder))
last=$((first + n + offset))
if [ ${last} -gt ${fixed_count} ]; then
first=${first_}
last=$((first + n + offset))
fi
echo -ne "\t${opening}"
eval "${mode} '${index_expr_str}' $(seq -s' ' ${first} ${last})"
echo -e "\n\t);"
first=$((last+1))
remainder=$((remainder > 0 ? remainder-1 : 0))
done
footer
}
####
outdir=srcs
opening='pfor::parallelFor<pfor::ForLoopThread>(pfor::RangeCT<0,2>{n}'
for count in $(echo 5 $(seq 10 10 100)); do
fixed_var_count>"${outdir}/main_fixedv_indep_randi_${count}.cpp" independent_with "${opening}" 'index_expr_rand' $(seq 2 ${count})
fixed_var_count>"${outdir}/main_fixedv_dep_randi_${count}.cpp" dependent_with "${opening}" 'index_expr_rand' $(seq ${count})
fixed_var_count>"${outdir}/main_fixedv_indep_fixedi_${count}.cpp" independent_with "${opening}" 'index_expr_fixed' $(seq 2 ${count})
fixed_var_count>"${outdir}/main_fixedv_dep_fixedi_${count}.cpp" dependent_with "${opening}" 'index_expr_fixed' $(seq ${count})
# fixed_instr_count>"${outdir}/main_fixedi_indep_randi_${count}.cpp" independent_with "${opening}" 'index_expr_rand' "${count}"
# fixed_instr_count>"${outdir}/main_fixedi_dep_randi_${count}.cpp" dependent_with "${opening}" 'index_expr_rand' "${count}"
# fixed_instr_count>"${outdir}/main_fixedi_indep_fixedi_${count}.cpp" independent_with "${opening}" 'index_expr_fixed' "${count}"
# fixed_instr_count>"${outdir}/main_fixedi_dep_fixedi_${count}.cpp" dependent_with "${opening}" 'index_expr_fixed' "${count}"
fixed_instr_var_count>"${outdir}/main_fixediv_indep_randi_${count}.cpp" independent_with "${opening}" 'index_expr_rand' "${count}"
fixed_instr_var_count>"${outdir}/main_fixediv_dep_randi_${count}.cpp" dependent_with "${opening}" 'index_expr_rand' "${count}"
fixed_instr_var_count>"${outdir}/main_fixediv_indep_fixedi_${count}.cpp" independent_with "${opening}" 'index_expr_fixed' "${count}"
fixed_instr_var_count>"${outdir}/main_fixediv_dep_fixedi_${count}.cpp" dependent_with "${opening}" 'index_expr_fixed' "${count}"
done

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, sys
sys.path.append(os.path.abspath(os.path.dirname(os.path.abspath(__file__))+"/../scripts"))
import fileinput
import numpy as np
import matplotlib as mpl
show = len(sys.argv) > 1 and sys.argv[1] == 'show'
if not show:
mpl.use('pgf')
import matplotlib.pyplot as plt
import matplotlib.lines as lines
from common import set_size, config_plt, get_colors, fix_log_rects
config_plt()
def toFloat(s):
return float(s.split(' ')[1].replace(',', '.'))
def loadData(fn):
content = []
with open(fn) as f:
content = f.readlines()
values = {}
for line in content:
n, real, user, sys, _ = [x for x in line.split(':')]
time = toFloat(user) + toFloat(sys)
if not n in values:
values[n] = []
values[n].append(time);
if "5" in values:
values.pop("5")
return values
def figCT(title, xlabel, xticks, output, datasrcs, legendOutside=False, error=False, log=False):
fig = plt.figure()
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(u"temps (s)")
plt.xticks(xticks)
if log:
plt.yscale('log')
nd = len(datasrcs)
width = 1.5
pos = .5-.5*nd
for f, label in datasrcs:
values = loadData(f)
barcolor, errcolor = get_colors(['dep/fixed', 'indep/fixed', 'dep/rand', 'indep/rand'], label)
for k, a in values.items():
x = int(k)
m = np.mean(a)
s = 2.5758 * np.std(a) / np.sqrt(len(a))
x = x + pos*width
bar = plt.bar(x, m, width=width, color=barcolor, label=label)
if log:
fix_log_rects(bar, 1e-4)
if error:
plt.errorbar(x, m, s, elinewidth=.8, capsize=1, ecolor=errcolor)
label=''
pos = pos + 1
bbox=(1, 1)
if not legendOutside:
bbox=(.38, 1)
plt.legend(bbox_to_anchor=bbox)
fig.set_size_inches(set_size(455.24408, .8))
if not show:
plt.savefig(output, format='pdf', bbox_inches='tight')
return plt
# script
plts = []
plt = figCT(u"", u"nombre de boucles", [10, 20, 30, 40, 50, 60, 70, 80, 90, 100],
"plots/fixediv.pdf", [
['data/ct_fixediv_dep_fixedi', 'dep/fixed'],
['data/ct_fixediv_indep_fixedi', 'indep/fixed'],
['data/ct_fixediv_dep_randi', 'dep/rand'],
['data/ct_fixediv_indep_randi', 'indep/rand'],
],
legendOutside=True,
error=True
)
plts.append(plt)
plt = figCT(u"", u"nombre d'instructions", [10, 20, 30, 40, 50, 60, 70, 80, 90, 100],
"plots/fixedv.pdf", [
['data/ct_fixedv_dep_fixedi', 'dep/fixed'],
['data/ct_fixedv_indep_fixedi', 'indep/fixed'],
['data/ct_fixedv_dep_randi', 'dep/rand'],
['data/ct_fixedv_indep_randi', 'indep/rand'],
],
error=True,
log=True
)
plts.append(plt)
if show:
for plt in plts:
plt.show()

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#!/bin/bash
repetitions=$1; shift
cxx=g++
for mode in $*; do
:>"data/ct_${mode}"
for f in $(ls srcs|grep -E "^main_${mode}_[0-9]+.cpp"); do
n=$(echo ${f}|cut -d'_' -f5|cut -d'.' -f1)
for i in $(seq ${repetitions}); do
echo>>"data/ct_${mode}" "${n}:$( (time -p ${cxx} -O2 -pthread -I../src -o build/null "srcs/${f}") 2>&1|tr '\n' ':')"
done
done
done

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#include <algorithm>
#include <cmath>
#include <iostream>
#include <iterator>
#include <pfor/pfor.h>
#include <pfor/traits.h>
std::size_t pfor::ParallelForParameters::nThreads = 16;
constexpr long n = 16;
template<std::size_t v>
constexpr auto _ = pfor::ctv<v>;
#define OPERAND(T, ID) \
T ID##_; \
auto ID = pfor::Operand<T, class TID##ID>{ID##_}
template<typename T, std::size_t n>
void printArray(std::array<T, n> const& array) {
std::copy(std::begin(array), std::end(array), std::ostream_iterator<T>(std::cout, " "));
std::cout << std::endl;
}
int main() {
using TypeA = std::array<int, n+1>; OPERAND(TypeA, a);
using TypeB = std::array<int, 2*n+1>; OPERAND(TypeB, b);
using Type = std::array<int, n>; OPERAND(Type, c); OPERAND(Type, d);
std::generate_n(std::begin(a_), a_.size(), [i=0]() mutable { return i++; });
std::generate_n(std::begin(b_), b_.size(), [i=0]() mutable { return n-i++; });
std::generate_n(std::begin(c_), c_.size(), [i=0]() mutable { return 1+i++%3; });
std::generate_n(std::begin(d_), d_.size(), [i=0]() mutable { return -i++; });
pfor::Index i;
{
auto e = a[_<2>*i+_<1>] = a[_<2>*i];
std::cout << "Is {a[2*i+1] = a[2*i]} parallelizable? " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto e = a[i*i] = a[i*i]+1;
std::cout << "Is {a[i*i] = a[i*i]+1} parallelizable? " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto e = a[injective(i*i)] = a[injective(i*i)]+1;
std::cout << "Is {a[injective(i*i)] = a[injective(i*i)]+1} parallelizable? " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto e = a[i+_<1>] = a[i];
std::cout << "Is {a[i+1] = a[i]}(step=1) parallelizable? " << std::boolalpha << parallelTest(pfor::RangeCT<0,1>{0}, e) << std::endl;
std::cout << "Is {a[i+1] = a[i]}(step=2) parallelizable? " << std::boolalpha << parallelTest(pfor::RangeCT<0,2>{0}, e) << std::endl;
}
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, n},
d[i] = (xpr(i)+1)*a[i+_<1>],
b[_<2>*i+_<1>] = b[_<2>*i]
);
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, static_cast<pfor::Range::ValueType>(std::sqrt(n))},
c[injective(i*i)] = c[injective(i*i)] + i
);
pfor::parallelFor<pfor::ForLoopThread>(pfor::RangeCT<0,2>{n},
a[i+_<1>] = a[i]
);
printArray(a_);
printArray(b_);
printArray(c_);
printArray(d_);
}

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <sstream>
#include <pfor/pfor.h>
#define K 1
std::size_t pfor::ParallelForParameters::nThreads{1};
template<std::size_t n>
constexpr auto _ = pfor::ctv<n>;
using T = int;
#define OPERAND(Type, name, size, filler) \
Type * name##_ = new Type[size]; \
{ \
std::size_t i = 0; \
std::generate_n(name##_, size, [&i]{ return filler; }); \
} \
auto name = pfor::Operand<Type*, class ID##name>(name##_);
void printer(std::size_t) {}
template<typename T, typename... Ts>
void printer(std::size_t n, T &&array, Ts&&... arrays) {
for(std::size_t i = 0; i < n; ++i)
std::clog << std::forward<T>(array)[i] << ", ";
std::clog << std::endl;
printer(n, std::forward<Ts>(arrays)...);
}
int main() {
std::size_t const N = 1000000;
OPERAND(T, a0, N, i++);
OPERAND(T, a1, N, i++);
OPERAND(T, a2, N, i++);
OPERAND(T, a3, N, i++);
OPERAND(T, a4, N, i++);
OPERAND(T, a5, N, i++);
OPERAND(T, a6, N, i++);
OPERAND(T, a7, N, i++);
for(std::size_t k = 0; k < K; ++k) {
parallelFor(pfor::Range{0, N-1}, [&](pfor::Index i) {
return
a0[i] = a0[i+_<1>] + a1[i] * a2[i],
a1[i] = a1[i+_<1>] + a2[i] * a3[i],
a2[i] = a2[i+_<1>] + a3[i] * a4[i],
a5[i] = a5[i+_<1>] + a6[i] * a7[i];
});
}
printer(N, a0_, a1_, a2_, a3_, a4_, a5_, a6_, a7_);
}

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <pfor/pfor.h>
#define N 10
#define DELAY 10'000'000
#define WAIT(DELAY) \
for(std::size_t i = 0; i < DELAY; ++i)
template<std::size_t n>
constexpr auto _ = pfor::ctv<n>;
std::size_t pfor::ParallelForParameters::nThreads = 4;
/* slow operator+ */
template<typename T = int>
class Foo {
T data;
public:
Foo() = default;
Foo(T const&data): data{data} {}
Foo &operator=(T const&data) {
WAIT(DELAY);
this->data = data;
return *this;
}
Foo operator+(Foo const&o) {
WAIT(DELAY);
return Foo{data+o.data};
}
operator T() const { return data; }
};
int main() {
Foo<> a[N+1], b[N], c[N], d[N];
int t[N];
{ int i = 0; std::generate_n(std::begin(a), N+1, [&i]{ return N-(i++); }); }
{ int i = 0; std::generate_n(std::begin(b), N, [&i]{ return i++; }); }
{ std::generate_n(std::begin(c), N, []{ return 250; }); }
{ int i = 0; std::generate_n(std::begin(d), N, [&i]{ return i++&1; }); }
pfor::parallelFor<pfor::ForLoopOMP>(pfor::Range{0, N-1},
[
a=pfor::Operand<Foo<>*, class IDa>(a),
b=pfor::Operand<Foo<>*, class IDb>(b),
c=pfor::Operand<Foo<>*, class IDc>(c),
d=pfor::Operand<Foo<>*, class IDd>(d),
t=pfor::expr::Constant<int*>(t)
] (auto i) mutable {
return (
a[i] = b[i]+a[i+_<1>],
c[i] = c[i]+c[i],
b[i] = 3
);
}
);
std::copy(a, a+N, std::ostream_iterator<int>(std::cout, " "));
std::cout << std::endl;
std::copy(b, b+N, std::ostream_iterator<int>(std::cout, " "));
std::cout << std::endl;
std::copy(c, c+N, std::ostream_iterator<int>(std::cout, " "));
std::cout << std::endl;
std::copy(d, d+N, std::ostream_iterator<int>(std::cout, " "));
std::cout << std::endl;
}

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#include <iostream>
#include <pfor/pfor.h>
#include <pfor/traits.h>
int main() {
std::array<int, 1> a;
pfor::Operand<std::array<int, 1>, void> o{a};
pfor::Index i;
auto strinc = strictinc(i*i);
auto strdec = strictdec(i*i);
{
auto e = o[strinc] = o[strinc]+1;
std::cout << "strictly inc: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto ii = strinc + strinc;
auto e = o[ii] = o[ii]+1;
std::cout << "strictly inc + strictly inc: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto ii = strinc + strdec;
auto e = o[ii] = o[ii]+1;
std::cout << "strictly inc + strictly dec: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto ii = strdec + strinc;
auto e = o[ii] = o[ii]+1;
std::cout << "strictly dec + strictly inc: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto ii = strdec + strdec;
auto e = o[ii] = o[ii]+1;
std::cout << "strictly dec + strictly dec: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto ii = strinc - strdec;
auto e = o[ii] = o[ii]+1;
std::cout << "strictly inc - strictly dec: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
{
auto ii = strdec - strinc;
auto e = o[ii] = o[ii]+1;
std::cout << "strictly dec - strictly inc: " << std::boolalpha << parallelTest(pfor::Range{0,0}, e) << std::endl;
}
}

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <pfor/pfor.h>
#define K 1
std::size_t pfor::ParallelForParameters::nThreads{1};
using T = int;
#define OPERAND(Type, name, n, size, filler) \
Type * name##n##_ = new Type[size]; \
{ \
std::size_t i = 0; \
std::generate_n(name##n##_, size, [&i]{ return filler; }); \
}
void printer(std::size_t) {}
template<typename T, typename... Ts>
void printer(std::size_t n, T &&array, Ts&&... arrays) {
for(std::size_t i = 0; i < n; ++i)
std::clog << std::forward<T>(array)[i] << ", ";
std::clog << std::endl;
printer(n, std::forward<Ts>(arrays)...);
}
int main() {
std::size_t const N = 1000000;
OPERAND(T, a, 0, N, i++);
OPERAND(T, a, 1, N, i++);
OPERAND(T, a, 2, N, i++);
OPERAND(T, a, 3, N, i++);
OPERAND(T, a, 4, N, i++);
OPERAND(T, a, 5, N, i++);
OPERAND(T, a, 6, N, i++);
OPERAND(T, a, 7, N, i++);
for(std::size_t k = 0; k < K; ++k) {
for(std::size_t i = 0; i < N-1; ++i) {
a0_[i] = a0_[i+1] + a1_[i] * a2_[i];
a1_[i] = a1_[i+1] + a2_[i] * a3_[i];
a2_[i] = a2_[i+1] + a3_[i] * a4_[i];
a5_[i] = a5_[i+1] + a6_[i] * a7_[i];
}
}
printer(N, a0_, a1_, a2_, a3_, a4_, a5_, a6_, a7_);
}

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#include <cstdio>
#include <cmath>
#include <pfor/pfor.h>
std::size_t pfor::ParallelForParameters::nThreads = 16;
constexpr long n = 16;
int main() {
std::array<int, n> a_; pfor::Operand<decltype(a_), class IDa> a{a_};
std::array<int, n> b_; pfor::Operand<decltype(b_), class IDb> b{b_};
std::array<int, n> c_; pfor::Operand<decltype(c_), class IDc> c{c_};
std::array<int, n> d_; pfor::Operand<decltype(d_), class IDd> d{d_};
std::array<int, n> e_; pfor::Operand<decltype(e_), class IDe> e{e_};
std::array<int, n> f_; pfor::Operand<decltype(f_), class IDf> f{f_};
auto pow = pfor::makeOperator<float(&)(float, float)>(std::pow);
pfor::Index i;
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, static_cast<decltype(+n)>(std::sqrt(n))},
a[i] = a[i] * b[i],
c[i] = c[i+pfor::ctv<1>] - d[i],
b[i] = b[i] + i,
d[i] = pow(c[i], e[i]),
f[injective(i*i)] = 2 * f[injective(i*i)]
);
}

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <pfor/pfor.h>
#define N 10
template<typename..., typename... Ts>
void printTypes(Ts...) {
std::puts(__PRETTY_FUNCTION__);
}
int main() {
int dummy[N+1];
auto a = pfor::Operand<int*, class IDa>(dummy);
auto b = pfor::Operand<int*, class IDb>(dummy);
auto c = pfor::Operand<int*, class IDc>(dummy);
auto d = pfor::Operand<int*, class IDd>(dummy);
auto e = pfor::Operand<int*, class IDe>(dummy);
auto f = pfor::Operand<int*, class IDf>(dummy);
pfor::Index i;
auto expr =
(
a[i] = a[i] * b[i],
c[i] = c[i+pfor::ctv<1>] + d[i],
b[i] = b[i] + 1,
d[i] = c[i]^e[i],
f[i] = 2 * f[i]
);
using CommaSplittedExpr = pfor::expr::SplitComma<decltype(expr)>;
using ExprInfo = pfor::expr::ExpressionInfo<CommaSplittedExpr>;
using Clusters = typename pfor::impl::ClustersGenImpl<pfor::Pack<>, ExprInfo>::type;
using ClustersIds = pfor::ClustersExpressionIds<Clusters>;
using Type = pfor::PackSort<pfor::ComparatorUIntPack, ClustersIds>;
printTypes(expr);
std::puts("--");
printTypes<CommaSplittedExpr>();
std::puts("--");
printTypes<ExprInfo>();
std::puts("--");
printTypes<Clusters>();
std::puts("--");
printTypes<Type>();
}

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#include <algorithm>
#include <iostream>
#include <iterator>
#include <pfor/pfor.h>
#include <pfor/traits.h>
constexpr long n = 10;
#define OPERAND(T, ID) \
T ID##_; \
auto ID = pfor::Operand<T, class TID##ID>{ID##_}
template<typename T, std::size_t n>
void printArray(std::array<T, n> const& array) {
std::copy(std::begin(array), std::end(array), std::ostream_iterator<T>(std::cout, " "));
std::cout << std::endl;
}
int main() {
using Type = std::array<int, n>;
OPERAND(Type, a);
std::generate_n(std::begin(a_), n, [i=1]() mutable { return i++; });
pfor::Index i;
pfor::parallelFor<pfor::ForLoopUnrolling<4>::template Template>(pfor::Range{0, n},
a[i] = 3*a[i]
);
printArray(a_);
}

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#include <algorithm>
#include <cmath>
#include <iostream>
#include <iterator>
#include <pfor/pfor.h>
constexpr long n = 10;
template<std::size_t n>
constexpr auto _ = pfor::ctv<n>;
#define OPERAND(T, ID) \
T ID##_; \
auto ID = pfor::Operand<T, class TID##ID>{ID##_}
template<typename T, std::size_t n>
void printArray(std::array<T, n> const& array) {
std::copy(std::begin(array), std::end(array), std::ostream_iterator<T>(std::cout, " "));
std::cout << std::endl;
}
inline static long long factorial(long long n) {
long long r = 1;
while(n > 1) r *= n--;
return r;
}
std::size_t pfor::ParallelForParameters::nThreads = 4;
int main() {
using Type = std::array<int, n>;
OPERAND(Type, a); OPERAND(Type, b); OPERAND(Type, c); OPERAND(Type, d);
std::generate_n(std::begin(a_), n, [i=0]() mutable { return i++; });
std::generate_n(std::begin(b_), n, [i=0]() mutable { return n-i++; });
std::generate_n(std::begin(c_), n, [i=0]() mutable { return i++%3; });
std::generate_n(std::begin(d_), n, [i=0]() mutable { return -i++; });
pfor::Index i;
auto add3 = pfor::makeOperator([](auto a, auto b, auto c) { return a+b+c; });
auto pow = pfor::makeOperator<float(&)(float, float)>(std::pow);
auto factorial = pfor::makeOperator(::factorial);
pfor::parallelFor<pfor::ForLoopThread>(pfor::Range{0, n},
a[i] = add3(a[i], c[i], c[i]),
b[i] = pow(b[i], c[i]),
d[i] = pow(factorial(-d[i]/2), xpr(i) % 4 + 1)
);
printArray(a_);
printArray(b_);
printArray(c_);
printArray(d_);
}

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omp:2:45.8344
omp:2:45.8216
omp:4:49.7087
omp:4:49.6435
omp:4:49.6838
omp:4:49.6576
omp:4:49.6977
omp:4:49.6882
omp:4:49.6872
omp:4:49.7013
omp:4:49.6612
omp:4:49.7083
omp:4:49.6807
omp:4:49.7016
omp:4:49.6912
omp:4:49.697
omp:4:49.6578
omp:4:49.6815
omp:4:49.6476
omp:4:49.7094
omp:4:49.7128
omp:4:49.6767
omp:6:51.3825
omp:6:51.3752
omp:6:51.349
omp:6:51.3089
omp:6:51.3242
omp:6:51.3392
omp:6:51.2991
omp:6:51.3295
omp:6:51.3093
omp:6:51.3718
omp:6:51.3472
omp:6:51.2813
omp:6:51.3272
omp:6:51.3535
omp:6:51.2488
omp:6:51.3627
omp:6:51.2711
omp:6:51.3754
omp:6:51.276
omp:6:51.3427
omp:8:51.5643
omp:8:51.4862
omp:8:51.5587
omp:8:51.554
omp:8:51.5317
omp:8:51.4571
omp:8:51.4816
omp:8:51.5629
omp:8:51.4244
omp:8:51.5424
omp:8:51.4998
omp:8:51.529
omp:8:51.5665
omp:8:51.5768
omp:8:51.5585
omp:8:51.5341
omp:8:51.4716
omp:8:51.6132
omp:8:51.4219
omp:8:51.4883
omp:10:51.7992
omp:10:51.5919
omp:10:51.7654
omp:10:51.6212
omp:10:51.6884
omp:10:51.7546
omp:10:51.7344
omp:10:51.7494
omp:10:51.6435
omp:10:51.6505
omp:10:51.6489
omp:10:51.7358
omp:10:51.7449
omp:10:51.7101
omp:10:51.6583
omp:10:51.6155
omp:10:51.4979
omp:10:51.7856
omp:10:51.6735
omp:10:51.6534
omp:12:51.9379
omp:12:51.9491
omp:12:51.9544
omp:12:51.8284
omp:12:51.9142
omp:12:52.0903
omp:12:51.8472
omp:12:52.0148
omp:12:51.9184
omp:12:51.8539
omp:12:51.8266
omp:12:51.9485
omp:12:51.8694
omp:12:51.981
omp:12:51.7983
omp:12:51.9103
omp:12:51.8441
omp:12:51.9535
omp:12:51.8935
omp:12:52.0738
omp:14:51.9736
omp:14:52.2929
omp:14:52.1712
omp:14:52.1499
omp:14:52.212
omp:14:52.3327
omp:14:52.1292
omp:14:52.2435
omp:14:52.0337
omp:14:52.3092
omp:14:52.1153
omp:14:52.1584
omp:14:52.1721
omp:14:52.1981
omp:14:52.0162
omp:14:52.2888
omp:14:52.0987
omp:14:52.2448
omp:14:52.146
omp:14:52.1082
omp:16:52.402
omp:16:52.5233
omp:16:52.5283
omp:16:52.2721
omp:16:52.5828
omp:16:52.5883
omp:16:52.421
omp:16:52.2932
omp:16:52.4741
omp:16:52.339
omp:16:52.3635
omp:16:52.4886
omp:16:52.3593
omp:16:52.465
omp:16:52.5404
omp:16:52.5648
omp:16:52.3201
omp:16:52.1461
omp:16:52.4488
omp:16:52.3938
omp:18:52.8147
omp:18:52.8862
omp:18:53.4763
omp:18:53.6126
omp:18:53.6759
omp:18:53.541
omp:18:53.5946
omp:18:53.6125
omp:18:53.5824
omp:18:53.7207
omp:18:53.6791
omp:18:53.8307
omp:18:53.8283
omp:18:53.7807
omp:18:53.6966
omp:18:53.5535
omp:18:53.6908
omp:18:53.7789
omp:18:53.6238
omp:18:53.7812

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seq:1:45.4742
seq:1:45.4225
seq:1:45.4195
seq:1:45.4216
seq:1:45.42
seq:1:45.4196
seq:1:45.426
seq:1:45.4135
seq:1:45.4258
seq:1:45.4193
seq:1:45.4156
seq:1:45.4226
seq:1:45.4172
seq:1:45.4238
seq:1:45.4158
seq:1:45.4216
seq:1:45.4203
seq:1:45.4208
seq:1:45.4216
seq:1:45.4178
seq:2:45.4793
seq:2:45.4258
seq:2:45.4214
seq:2:45.4125
seq:2:45.4212
seq:2:45.4153
seq:2:45.443
seq:2:45.4278
seq:2:45.4299
seq:2:45.4205
seq:2:45.4274
seq:2:45.4208
seq:2:45.4216
seq:2:45.4302
seq:2:45.4209
seq:2:45.5463
seq:2:45.4325
seq:2:45.4295
seq:2:45.4262
seq:2:45.4228
seq:4:45.4309
seq:4:45.4258
seq:4:45.425
seq:4:45.4234
seq:4:45.4274
seq:4:45.4217
seq:4:45.4335
seq:4:45.4267
seq:4:45.4334
seq:4:45.4196
seq:4:45.426
seq:4:45.4294
seq:4:45.4277
seq:4:45.4298
seq:4:45.4295
seq:4:45.422
seq:4:45.4251
seq:4:45.4257
seq:4:45.4342
seq:4:45.4285
seq:6:45.4225
seq:6:45.4193
seq:6:45.418
seq:6:45.4345
seq:6:45.4276
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seq:6:45.446
seq:6:45.424
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seq:6:45.4294
seq:8:45.435
seq:8:45.4504
seq:8:45.4254
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seq:8:45.424
seq:8:45.428
seq:8:45.4206
seq:8:45.4282
seq:8:45.4356
seq:8:45.42
seq:8:45.4243
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seq:8:45.4316
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2
rtbenchmarks/.gitignore vendored Normal file
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data_basic/
data_imgpro/

113
rtbenchmarks/plot_basic Executable file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, sys
sys.path.append(os.path.abspath(os.path.dirname(os.path.abspath(__file__))+"/../scripts"))
import fileinput
import numpy as np
import matplotlib as mpl
show = len(sys.argv) > 1 and sys.argv[1] == 'show'
if not show:
mpl.use('pgf')
import matplotlib.pyplot as plt
import matplotlib.lines as lines
from common import set_size, config_plt, get_colors, fix_log_rects
config_plt()
def loadData(fn):
content = []
with open(fn) as f:
content = f.readlines()
values = {}
for line in content:
n, method, sample, ncores, strtime = [x for x in line.split(':')]
time = float(strtime)
if method != "seq":
time = time/float(ncores)
if not n in values:
values[n] = []
values[n].append(time);
return values
def figSize(title, xlabel, xticks, output, datasrcs, error=False):
fig = plt.figure()
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(u"temps (s)")
plt.xticks(xticks)
plt.xscale('log')
plt.yscale('log')
nd = len(datasrcs)
width = 3.5
pos = .5-.5*nd
for f, label in datasrcs:
values = loadData(f)
barcolor, errcolor = get_colors(['seq', 'omp', 'gen_omp', 'gen_thread'], label)
for k, a in values.items():
x = int(k)
m = np.mean(a)
s = 2.5758 * np.std(a) / np.sqrt(len(a)) # confiance 99 %
x = x * ((20+width)/(20-width))**pos
p = np.log10(x)
lwidth = width * 10**(p-1)
bar = plt.bar(x, m, width=lwidth, color=barcolor, label=label)
fix_log_rects(bar, 1e-4)
if error:
plt.errorbar(x, m, s, elinewidth=1.5, capsize=2, ecolor=errcolor)
label=''
pos = pos + 1
plt.legend(bbox_to_anchor=(.38, 1))
fig.set_size_inches(set_size(455.24408, .8))
if not show:
plt.savefig(output, format='pdf', bbox_inches='tight')
return plt
# script
plts = []
plt = figSize(u"", u"taille des données", [1e2, 1e3, 1e4, 1e5, 1e6, 1e7],
"plots/rt_seq.pdf", [
['data_basic/rt_seq_seq', 'seq'],
['data_basic/rt_seq_gen_omp', 'gen_omp'],
['data_basic/rt_seq_gen_thread', 'gen_thread'],
],
error=True
)
plts.append(plt)
for cores in [1, 2, 4, 6, 8, 10, 12, 14, 16, 18]:
plt = figSize(u"", u"taille des données", [1e2, 1e3, 1e4, 1e5, 1e6, 1e7],
"plots/rt_par_"+str(cores)+".pdf", [
['data_basic/rt_size_'+str(cores)+'_seq', 'seq'],
['data_basic/rt_size_'+str(cores)+'_omp', 'omp'],
['data_basic/rt_size_'+str(cores)+'_gen_omp', 'gen_omp'],
['data_basic/rt_size_'+str(cores)+'_gen_thread', 'gen_thread'],
],
error=True
)
plts.append(plt)
if show:
for plt in plts:
plt.show()

147
rtbenchmarks/plot_imgpro Executable file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, sys
sys.path.append(os.path.abspath(os.path.dirname(os.path.abspath(__file__))+"/../scripts"))
import fileinput
import numpy as np
import matplotlib as mpl
show = len(sys.argv) > 1 and sys.argv[1] == 'show'
if not show:
mpl.use('pgf')
import matplotlib.pyplot as plt
import matplotlib.lines as lines
from common import set_size, config_plt, get_colors
config_plt()
def loadData(fn):
content = []
with open(fn) as f:
content = f.readlines()
values = {}
for line in content:
method, ncores, strtime = [x for x in line.split(':')]
time = float(strtime)
if method != "seq":
time = time/float(ncores)
if not ncores in values:
values[ncores] = []
values[ncores].append(time);
return values
def figCores(title, xlabel, xticks, output, datasrcs, error=False):
fig = plt.figure()
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(u"temps (s)")
plt.xticks(xticks)
nd = len(datasrcs)
width = .4
pos = .5-.5*nd
for f, label in datasrcs:
values = loadData(f)
barcolor, errcolor = get_colors(['seq', 'omp', 'gen_omp', 'gen_thread'], label)
if "1" in values:
values.pop("1")
for k, a in values.items():
x = int(k)
m = np.mean(a)
s = 2.5758 * np.std(a) / np.sqrt(len(a)) # confiance 99 %
x = x + pos*width
plt.bar(x, m, width=width, color=barcolor, label=label)
if error:
plt.errorbar(x, m, s, elinewidth=.8, capsize=1, ecolor=errcolor)
label=''
pos = pos + 1
plt.legend(bbox_to_anchor=(1, 1))
fig.set_size_inches(set_size(455.24408, .8))
if not show:
plt.savefig(output, format='pdf', bbox_inches='tight')
return plt
def figSpeedUp(title, xlabel, xticks, output, basetime, datasrcs):
fig = plt.figure()
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(u"accélération")
plt.xticks(xticks)
nd = len(datasrcs)
width = .4
pos = .5-.5*nd
for f, label in datasrcs:
values = loadData(f)
barcolor, errcolor = get_colors(['seq', 'omp', 'gen_omp', 'gen_thread'], label)
if "1" in values:
values.pop("1")
for k, a in values.items():
x = int(k)
m = basetime/np.mean(a)
x = x + pos*width
plt.bar(x, m, width=width, color=barcolor, label=label)
label=''
pos = pos + 1
plt.legend(bbox_to_anchor=(0.38, 1))
fig.set_size_inches(set_size(455.24408, .8))
if not show:
plt.savefig(output, format='pdf', bbox_inches='tight')
return plt
# script
values = loadData('data_imgpro/rt_cores_seq')
basetime = np.mean(values["1"])
plts = []
plt = figCores(u"", u"nombre de cœurs", [2, 4, 6, 8, 10, 12, 14, 16, 18],
"plots/rt_cores.pdf", [
# ['data_imgpro/rt_cores_seq', 'seq'],
['data_imgpro/rt_cores_gen_omp', 'omp'],
['data_imgpro/rt_cores_gen_omp', 'gen_omp'],
['data_imgpro/rt_cores_gen_thread', 'gen_thread'],
],
error=False
)
plts.append(plt)
plt = figSpeedUp(u"", u"nombre de cœurs", [2, 4, 6, 8, 10, 12, 14, 16, 18],
"plots/rt_speedup.pdf", basetime, [
['data_imgpro/rt_cores_gen_omp', 'omp'],
['data_imgpro/rt_cores_gen_omp', 'gen_omp'],
['data_imgpro/rt_cores_gen_thread', 'gen_thread'],
]
)
plts.append(plt)
if show:
for plt in plts:
plt.show()

79
rtbenchmarks/run_rt_basic Executable file
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#!/bin/bash
binary=./release/benchmarks/basic
preload="LD_PRELOAD=~bachelet/local/kephren/lib64/libstdc++.so.6"
repeat=20
outdir="rtbenchmarks/data_basic"
[ -x "${binary}" ] || exit 1
run() {
coreset=$1
size=$2
method=$3
sample=$4
ncores=$5
prefix="${size}:${method}:${sample}:${ncores}"
for i in $(seq ${repeat}); do
t=$(eval "${preload} taskset -c ${coreset} ${binary} ${size} ${method} ${sample} ${ncores}"|cut -d' ' -f2)
echo "${prefix}:${t}"
done
}
benchSeq() {
sizes=(100 1000 10000 100000 1000000 10000000)
coreset=0
sample=0 # seq
ncores=1
echo "---- benchSeq ----"
for method in seq omp gen_omp gen_thread; do
echo "==== ${method}"
for size in ${sizes[@]}; do
run "${coreset}" "${size}" "${method}" "${sample}" "${ncores}"
done|tee "${outdir}/rt_seq_${method}"
done
}
benchCores() {
cores=(1 2 4 6 8 10 12 14 16 18)
size=10000000
sample=1 # par
echo "---- benchCores ----"
for method in omp gen_omp gen_thread; do
echo "==== ${method}"
for ncores in ${cores[@]}; do
maxcore=$((ncores*4 - 1))
coreset="$(seq -s, 0 4 ${maxcore})"
run "${coreset}" "${size}" "${method}" "${sample}" "${ncores}"
done|tee "${outdir}/rt_cores_${method}"
done
}
benchSize() {
sizes=(100 1000 10000 100000 1000000 10000000)
ncores=$1
maxcore=$((ncores*4 - 1))
coreset="$(seq -s, 0 4 ${maxcores})"
sample=1 # par
echo "---- benchSize (ncores: ${ncores}) ----"
for method in seq omp gen_omp gen_thread; do
echo "==== ${method}"
for size in ${sizes[@]}; do
run "${coreset}" "${size}" "${method}" "${sample}" "${ncores}"
done|tee "${outdir}/rt_size_${ncores}_${method}"
done
}
eval "$*"

38
rtbenchmarks/run_rt_imgpro Executable file
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#!/bin/bash
binary=./release/benchmarks/imgpro
preload="LD_PRELOAD=~bachelet/local/kephren/lib64/libstdc++.so.6"
repeat=20
outdir="rtbenchmarks/data_imgpro"
[ -x "${binary}" ] || exit 1
run() {
coreset=$1
method=$2
ncores=$3
prefix="${method}:${ncores}"
for i in $(seq ${repeat}); do
t=$(eval "${preload} taskset -c ${coreset} ${binary} ${size} ${method} ${sample} ${ncores}"|cut -d' ' -f2)
echo "${prefix}:${t}"
done
}
benchCores() {
cores=(1 2 4 6 8 10 12 14 16 18)
echo "---- benchCores ----"
for method in seq omp gen_omp gen_thread; do
echo "==== ${method}"
for ncores in ${cores[@]}; do
maxcore=$((ncores*4 - 1))
coreset="$(seq -s, 0 4 ${maxcore})"
run "${coreset}" "${method}" "${ncores}"
done|tee "${outdir}/rt_cores_${method}"
done
}
eval "$*"

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scripts/benchmark Executable file
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#!/bin/bash
binary=./release/benchmarks/basic
[ -x "${binary}" ] || exit 1
#### Utilities
measure() {
coreset=$1
size=$2
method=$3
sample=$4
ncores=$5
t=$(eval "taskset -c ${coreset} ${binary} ${size} ${method} ${sample}"|cut -d' ' -f2)
echo "${t}"
}
csv() {
echo "$*"|tr ' ' ','
}
## benchmarks
#### No parallelism, sequential/generic, variable array sizes
bSeq() {
method=0
sizes=(100 1000 10000 100000 1000000)
coreset=0
cores=1
for size in ${sizes[@]}; do
ts_seq=($(measure "${coreset}" "${size}" seq $method $cores))
ts_gen_omp=($(measure "${coreset}" "${size}" gen_omp $method $cores))
ts_gen_thread=($(measure "${coreset}" "${size}" gen_thread $method $cores))
echo "$size ; $ts_seq ; $ts_gen_omp ; $ts_gen_thread"
done
}
#### Fixed coreset, omp/generic, variable array sizes
bSizes() {
method=$1
sizes=(100 1000 10000 100000 1000000)
coreset="0,4,8,12,16,20,24,28"
cores=8
for size in ${sizes[@]}; do
ts_seq=($(measure "${coreset}" "${size}" seq $method $cores))
ts_omp=($(measure "${coreset}" "${size}" omp $method $cores))
ts_gen_omp=($(measure "${coreset}" "${size}" gen_omp $method $cores))
ts_gen_thread=($(measure "${coreset}" "${size}" gen_thread $method $cores))
ts_omp2=`bc <<< "scale=6; $ts_omp/$cores"`
ts_gen_omp2=`bc <<< "scale=6; $ts_gen_omp/$cores"`
ts_gen_thread2=`bc <<< "scale=6; $ts_gen_thread/$cores"`
echo "$size ; $ts_seq ; $ts_omp ; $ts_omp2 ; $ts_gen_omp ; $ts_gen_omp2 ; $ts_gen_thread ; $ts_gen_thread2"
done
}
#### Fixed array size, omp/generic, variable coresets
bCores() {
method=$1
size=100000
coresets=("0" "0,4" "0,4,8,12" "0,4,8,12,16,20" "0,4,8,12,16,20,24,28" "0,4,8,12,16,20,24,28,32,36" "0,4,8,12,16,20,24,28,32,36,40,44" "0,4,8,12,16,20,24,28,32,36,40,44,48,52" "0,4,8,12,16,20,24,28,32,36,40,44,48,52,56,60")
cores=1
for coreset in ${coresets[@]}; do
ts_seq=($(measure "${coreset}" "${size}" seq $method $cores))
ts_omp=($(measure "${coreset}" "${size}" omp $method $cores))
ts_gen_omp=($(measure "${coreset}" "${size}" gen_omp $method $cores))
ts_gen_thread=($(measure "${coreset}" "${size}" gen_thread $method $cores))
ts_omp2=`bc <<< "scale=6; $ts_omp/$cores"`
ts_gen_omp2=`bc <<< "scale=6; $ts_gen_omp/$cores"`
ts_gen_thread2=`bc <<< "scale=6; $ts_gen_thread/$cores"`
echo "$cores ; $ts_seq ; $ts_omp ; $ts_omp2 ; $ts_gen_omp ; $ts_gen_omp2 ; $ts_gen_thread ; $ts_gen_thread2"
if [ $cores == 1 ]; then
cores=2
else
cores=$[cores+2]
fi
done
}
bCores 1 | tee ./scripts/result_cores_1.csv
./scripts/result_cores_1.plot
bCores 2 | tee scripts/result_cores_2.csv
./scripts/result_cores_2.plot
bSizes 1 | tee scripts/result_sizes_1.csv
./scripts/result_sizes_1.plot
bSizes 2 | tee scripts/result_sizes_2.csv
./scripts/result_sizes_2.plot
bSeq | tee scripts/result_seq.csv
./scripts/result_seq.plot

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scripts/common.py Normal file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import matplotlib.lines as lines
def set_size(width, fraction=1):
""" Set aesthetic figure dimensions to avoid scaling in latex.
Parameters
----------
width: float
Width in pts (\\the\\textwidth)
fraction: float
Fraction of the width which you wish the figure to occupy
Returns
-------
fig_dim: tuple
Dimensions of figure in inches
"""
# Width of figure
fig_width_pt = width * fraction
# Convert from pt to inches
inches_per_pt = 1 / 72.27
# Golden ratio to set aesthetic figure height
golden_ratio = (5 ** 0.5 - 1) / 2
# Figure width in inches
fig_width_in = fig_width_pt * inches_per_pt
# Figure height in inches
fig_height_in = fig_width_in * golden_ratio
return fig_width_in, fig_height_in
def config_plt():
plt.rc('font', size=11, family='Latin Modern Roman')
plt.rc('text', usetex=True)
plt.rc('xtick', labelsize=11)
plt.rc('ytick', labelsize=11)
plt.rc('axes', labelsize=11)
def get_colors(l, v):
color_palette = [
'#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd',
'#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf',
]
return color_palette[l.index(v)], '#888888'
def fix_log_rects(bar, e = 1e-4):
for rect in bar.patches:
if rect.get_y() == 0:
rect.set_y(e)
rect.set_height(rect.get_height() - e)

14
scripts/red_expr Executable file
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#!/bin/bash
cat|sed -r \
-e 's/.*Ts = \{[A-Za-z0-9_]+<(.*)>\};.*/\1/g' \
-e 's/Expression/E/g' \
-e 's/op::Comma/#/g' \
-e 's/op::Assign/=/g' \
-e 's/op::Addition/+/g' \
-e 's/op::Multiplication/*/g' \
-e 's/IntToType<(.)ul>/\1/g' \
-e 's/IteratorImpl<>/IT/g' \
-e 's/IteratorImpl<(.) >/\1/g' \
-e 's/int\*, //g' \
-e 's/, IteratorImpl<> //g'

24
scripts/result_cores_1.plot Executable file
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#!/usr/bin/gnuplot
set encoding iso_8859_1
set terminal postscript eps enhanced
set notitle
set xlabel "Number of Cores"
set ylabel "Execution Time"
set output "./scripts/result_cores_1.eps"
set key top left
set style line 1 lt 1 lw 3
set style line 2 lt 7 lw 3
set style line 3 lt 2 lw 3
set style line 4 lt 1 lw 1
set style line 5 lt 5 lw 3
set style function lines
plot './scripts/result_cores_1.csv' using 1:3 with lines linestyle 1 title "sequential", \
'./scripts/result_cores_1.csv' using 1:7 with lines linestyle 2 title "openmp", \
'./scripts/result_cores_1.csv' using 1:11 with lines linestyle 3 title "tmp+openmp", \
'./scripts/result_cores_1.csv' using 1:15 with lines linestyle 4 title "tmp+thread"
quit

25
scripts/result_cores_2.plot Executable file
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#!/usr/bin/gnuplot
set encoding iso_8859_1
set terminal postscript eps enhanced
set notitle
set xlabel "Number of Cores"
set ylabel "Execution Time"
set output "./scripts/result_cores_2.eps"
set key top left
set style line 1 lt 1 lw 3
set style line 2 lt 7 lw 3
set style line 3 lt 2 lw 3
set style line 4 lt 1 lw 1
set style line 5 lt 5 lw 3
set style function lines
plot './scripts/result_cores_2.csv' using 1:3 with lines linestyle 1 title "sequential", \
'./scripts/result_cores_2.csv' using 1:7 with lines linestyle 2 title "openmp", \
'./scripts/result_cores_2.csv' using 1:11 with lines linestyle 3 title "tmp+openmp", \
'./scripts/result_cores_2.csv' using 1:15 with lines linestyle 4 title "tmp+thread"
quit

25
scripts/result_seq.plot Executable file
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#!/usr/bin/gnuplot
set encoding iso_8859_1
set terminal postscript eps enhanced
set notitle
set xlabel "Array Size (log_{10})"
set ylabel "Execution Time (log_{10})"
set output "./scripts/result_seq.eps"
set key top left
set style line 1 lt 1 lw 3
set style line 2 lt 7 lw 3
set style line 3 lt 2 lw 3
set style line 4 lt 1 lw 1
set style line 5 lt 5 lw 3
set style function lines
set logscale xy 10
plot './scripts/result_seq.csv' using 1:3 with lines linestyle 1 title "sequential", \
'./scripts/result_seq.csv' using 1:5 with lines linestyle 3 title "tmp+openmp", \
'./scripts/result_seq.csv' using 1:7 with lines linestyle 4 title "tmp+thread"
quit

26
scripts/result_sizes_1.plot Executable file
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#!/usr/bin/gnuplot
set encoding iso_8859_1
set terminal postscript eps enhanced
set notitle
set xlabel "Array Size (log_{10})"
set ylabel "Execution Time (log_{10})"
set output "./scripts/result_sizes_1.eps"
set key top left
set style line 1 lt 1 lw 3
set style line 2 lt 7 lw 3
set style line 3 lt 2 lw 3
set style line 4 lt 1 lw 1
set style line 5 lt 5 lw 3
set style function lines
set logscale xy 10
plot './scripts/result_sizes_1.csv' using 1:3 with lines linestyle 1 title "sequential", \
'./scripts/result_sizes_1.csv' using 1:7 with lines linestyle 2 title "openmp", \
'./scripts/result_sizes_1.csv' using 1:11 with lines linestyle 3 title "tmp+openmp", \
'./scripts/result_sizes_1.csv' using 1:15 with lines linestyle 4 title "tmp+thread"
quit

27
scripts/result_sizes_2.plot Executable file
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#!/usr/bin/gnuplot
set encoding iso_8859_1
set terminal postscript eps enhanced
set notitle
set xlabel "Array Size (log_{10})"
set ylabel "Execution Time (log_{10})"
set output "./scripts/result_sizes_2.eps"
set key top left
set style line 1 lt 1 lw 3
set style line 2 lt 7 lw 3
set style line 3 lt 2 lw 3
set style line 4 lt 1 lw 1
set style line 5 lt 5 lw 3
set style function lines
set logscale xy 10
plot './scripts/result_sizes_2.csv' using 1:3 with lines linestyle 1 title "sequential", \
'./scripts/result_sizes_2.csv' using 1:7 with lines linestyle 2 title "openmp", \
'./scripts/result_sizes_2.csv' using 1:11 with lines linestyle 3 title "tmp+openmp", \
'./scripts/result_sizes_2.csv' using 1:15 with lines linestyle 4 title "tmp+thread"
quit

59
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#ifndef PFOR_PFOR_ALGORITHM_H
#define PFOR_PFOR_ALGORITHM_H
#include "index/properties.h"
#include "expression/expression.h"
namespace pfor {
/**
*/
template<typename I, index::Value a, index::Value b, typename=void>
struct SubstituteVariableInLinIndexSlopeImpl {
using type = I;
};
template<typename I, index::Value a, index::Value b>
struct SubstituteVariableInLinIndexSlopeImpl<I, a, b, std::enable_if_t<index::isLinear<I>>> {
using type = index::LinearIndex<a * index::linearSlope<I>, index::linearSlope<I>*b + index::linearOffset<I>>;
};
template<typename I, index::Value a, index::Value b>
using SubstituteVariableInLinIndexSlope = typename SubstituteVariableInLinIndexSlopeImpl<I, a, b>::type;
/**
*/
template<typename, index::Value, index::Value> struct SubstituteVariableInExpressionImpl;
template<typename Op, typename... Args, index::Value a, index::Value b>
struct SubstituteVariableInExpressionImpl<expr::Expression<Op, Args...>, a, b> {
using type = expr::Expression<Op, typename SubstituteVariableInExpressionImpl<Args, a, b>::type...>;
};
template<typename T, typename Id, typename Index, index::Value a, index::Value b>
struct SubstituteVariableInExpressionImpl<expr::Expression<T*, Id, Index>, a, b> {
using type = expr::Expression<T*, Id, SubstituteVariableInLinIndexSlope<Index, a, b>>;
};
template<typename T, std::size_t n, typename Id, typename Index, index::Value a, index::Value b>
struct SubstituteVariableInExpressionImpl<expr::Expression<std::array<T, n>, Id, Index>, a, b> {
using type = expr::Expression<std::array<T, n>, Id, SubstituteVariableInLinIndexSlope<Index, a, b>>;
};
template<typename T, index::Value a, index::Value b>
struct SubstituteVariableInExpressionImpl<expr::Constant<T>, a, b> {
using type = expr::Constant<T>;
};
template<typename E, index::Value a, index::Value b>
using SubstituteVariableInExpression = typename SubstituteVariableInExpressionImpl<E, a, b>::type;
template<index::Value a, index::Value b>
struct GenSubstituteVariableInExpression {
template<typename E>
using type = SubstituteVariableInExpression<E, a, b>;
};
}
#endif

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#ifndef PFOR_PFOR_CLUSTERS_H
#define PFOR_PFOR_CLUSTERS_H
#include "comparators.h"
#include "conditions.h"
#include "expression/algorithm.h"
#include "expression/tuple.h"
#include "expression/info.h"
#include "expression/subexpression.h"
#include "mp/pack.h"
#include "mp/tuple.h"
#include "parallelizable.h"
namespace pfor {
/**
*/
template<typename> struct ClusterExpressionIdsImpl;
template<typename I, typename W, typename R, typename... Ts>
struct ClusterExpressionIdsImpl<Pack<Pack<I, W, R>, Ts...>> {
using type = PackPrepend<typename ClusterExpressionIdsImpl<Pack<Ts...>>::type, I>;
};
template<>
struct ClusterExpressionIdsImpl<Pack<>> {
using type = Pack<>;
};
template<typename Cluster>
using ClusterExpressionIds = typename ClusterExpressionIdsImpl<Cluster>::type;
/**
*/
template<typename> struct ClustersExpressionIdsImpl;
template<typename Cluster, typename... Clusters>
struct ClustersExpressionIdsImpl<Pack<Cluster, Clusters...>> {
using type = PackPrepend<typename ClustersExpressionIdsImpl<Pack<Clusters...>>::type, ClusterExpressionIds<Cluster>>;
};
template<>
struct ClustersExpressionIdsImpl<Pack<>> {
using type = Pack<>;
};
template<typename Clusters>
using ClustersExpressionIds = typename ClustersExpressionIdsImpl<Clusters>::type;
/**
*/
template<typename Clusters, typename E, typename = Clusters, typename = Pack<E>> struct ClustersInsertImpl;
template<typename Cluster, typename... Clusters, typename E, typename IndependantClusters, typename CurrentCluster>
struct ClustersInsertImpl<Pack<Cluster, Clusters...>, E, IndependantClusters, CurrentCluster> {
static constexpr bool depends = clusterDepends<Cluster, E>;
using next_clusters = Pack<Clusters...>;
using tmp_independant_clusters = PackRemove<IndependantClusters, Cluster>;
using new_independant_clusters = If<depends, tmp_independant_clusters, IndependantClusters>;
using tmp_current_cluster = PackSort<ComparatorExpressionInfo, PackMerge<CurrentCluster, Cluster>>;
using new_current_cluster = If<depends, tmp_current_cluster, CurrentCluster>;
using type = typename ClustersInsertImpl<next_clusters, E, new_independant_clusters, new_current_cluster>::type;
};
template<typename E, typename IndependantClusters, typename CurrentCluster>
struct ClustersInsertImpl<Pack<>, E, IndependantClusters, CurrentCluster> {
using type = PackAppend<IndependantClusters, CurrentCluster>;
};
template<typename Clusters, typename E>
using ClustersInsert = typename ClustersInsertImpl<Clusters, E>::type;
/**
*/
namespace impl {
template<typename, typename> struct ClustersGenImpl;
template<typename Clusters, typename H, typename... Ts>
struct ClustersGenImpl<Clusters, Pack<H, Ts...>> {
using tmp_out = ClustersInsert<Clusters, H>;
using type = typename ClustersGenImpl<tmp_out, Pack<Ts...>>::type;
};
template<typename Clusters>
struct ClustersGenImpl<Clusters, Pack<>> {
using type = Clusters;
};
template<typename ExprInfo>
using ClustersGen = typename ClustersGenImpl<Pack<>, ExprInfo>::type;
}
template<typename E>
struct ClustersGen {
using comma_splitted_expr = expr::SplitComma<E>;
using expr_info = expr::ExpressionInfo<comma_splitted_expr>;
using clusters = impl::ClustersGen<expr_info>;
using clusters_ids = ClustersExpressionIds<clusters>;
using type = PackSort<ComparatorUIntPack, clusters_ids>;
};
/**
*/
template<bool, typename, typename> struct FilterClustersImpl;
template<bool par, typename E, typename Cluster, typename... Clusters>
struct FilterClustersImpl<par, E, Pack<Cluster, Clusters...>> {
using expr_type = expr::ExpressionsTuple<E>;
using tuple_type = SubTuple<expr_type, Cluster>;
using subexpr_type = expr::SubExpression<tuple_type>;
using merge_cluster = If<true ^ par ^ parallelizable<subexpr_type>, Cluster, Pack<>>;
using next = typename FilterClustersImpl<par, E, Pack<Clusters...>>::type;
using type = PackMerge<next, merge_cluster>;
};
template<bool par, typename E>
struct FilterClustersImpl<par, E, Pack<>> {
using type = Pack<>;
};
template<bool par, typename E, typename Clusters>
using FilterClusters = typename FilterClustersImpl<par, E, Clusters>::type;
/**
*/
template<typename E, typename Clusters>
using SequentialCluster = typename FilterClustersImpl<false, E, Clusters>::type;
/**
*/
template<typename E, typename Clusters>
using ParallelCluster = typename FilterClustersImpl<true, E, Clusters>::type;
/**
*/
template<typename, typename> struct ExpressionFromClusters;
}
#endif

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#ifndef PFOR_PFOR_COMPARATORS_H
#define PFOR_PFOR_COMPARATORS_H
#include "mp/meta.h"
#include "mp/pack.h"
namespace pfor {
/**
* @brief compares two unsigned integers boxed in a type
*
* @param Lhs a boxed unsigned integer
* @param Rhs a boxed unsigned integer
*
* @return Lhs < Rhs
*/
template<typename, typename> struct ComparatorUIntToType;
template<std::size_t lhs, std::size_t rhs>
struct ComparatorUIntToType<UIntToType<lhs>, UIntToType<rhs>> {
static constexpr bool value = lhs < rhs;
};
template<typename Lhs, typename Rhs>
constexpr bool comparatorUIntToType = ComparatorUIntToType<Lhs, Rhs>::value;
/**
* @brief compares two packs of boxed unsigned integers
*
* @param Lhs a pack of boxed unsigned integer
* @param Rhs a pack of boxed unsigned integer
*
* @return Lhs < Rhs
*/
template<typename, typename> struct ComparatorUIntPack;
template<std::size_t a, typename... As, std::size_t b, typename... Bs>
struct ComparatorUIntPack<Pack<UIntToType<a>, As...>, Pack<UIntToType<b>, Bs...>> {
static constexpr bool value = a == b? ComparatorUIntPack<Pack<As...>, Pack<Bs...>>::value:(a < b);
};
template<std::size_t... bs>
struct ComparatorUIntPack<Pack<>, Pack<UIntToType<bs>...>> {
static constexpr bool value = true;
};
template<std::size_t... as>
struct ComparatorUIntPack<Pack<UIntToType<as>...>, Pack<>> {
static constexpr bool value = false;
};
template<>
struct ComparatorUIntPack<Pack<>, Pack<>> {
static constexpr bool value = false;
};
template<typename Lhs, typename Rhs>
constexpr bool comparatorUIntPack = ComparatorUIntPack<Lhs, Rhs>::value;
/**
* @brief compares two expression's information (boxed integer, W, R)
*
* @param Lhs an expression's information
* @param Rhs an expression's information
*
* @return Lhs < Rhs (using the boxed integer)
*/
template<typename, typename> struct ComparatorExpressionInfo;
template<std::size_t i1, typename W1, typename R1, std::size_t i2, typename W2, typename R2>
struct ComparatorExpressionInfo<Pack<UIntToType<i1>, W1, R1>, Pack<UIntToType<i2>, W2, R2>> {
static constexpr bool value = i1 < i2;
};
template<typename Lhs, typename Rhs>
constexpr bool comparatorExpressionInfo = ComparatorExpressionInfo<Lhs, Rhs>::value;
/**
* @brief compares two written variables sets
*
* @param Lhs an expression's information
* @param Rhs an expression's information
*
* @return Lhs < Rhs (using the W pack)
*/
template<typename, typename> struct ComparatorWritePack;
template<typename I1, typename WT1, typename RT1, typename I2, typename WT2, typename RT2>
struct ComparatorWritePack<Pack<I1, WT1, RT1>, Pack<I2, WT2, RT2>> {
static constexpr bool value = comparatorUIntPack<WT1, WT2>;
};
template<typename Lhs, typename Rhs>
constexpr bool comparatorWritePack = ComparatorWritePack<Lhs, Rhs>::value;
}
#endif

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#ifndef PFOR_PFOR_CONDITIONS_H
#define PFOR_PFOR_CONDITIONS_H
#include "mp/pack.h"
namespace pfor {
/**
* @brief testing Bernstein's conditions on two expressions
*
* @param E0 an expression's information (I, W, R) where W and R are sets of written/read variables
* @param E1 an expression's information
*
* @return true if the expressions depend on each other
*
* Bernstein's conditions for independance are :
* - no intersection between modified variables (xW, yW)
* - no intersection between read/modified variables (xR, yW) and (yR, xW)
*/
template<typename, typename> struct ExpressionDepends;
template<typename CI, typename CW, typename CR, typename TI, typename TW, typename TR>
struct ExpressionDepends<Pack<CI, CW, CR>, Pack<TI, TW, TR>> {
static constexpr bool value = PackIntersects<CW, TW>::value || PackIntersects<CR, TW>::value || PackIntersects<CW, TR>::value;
};
template<typename E0, typename E1>
constexpr bool expressionDepends = ExpressionDepends<E0, E1>::value;
/**
* @brief testing Bernstein's conditions between each expression of a pack with one expression
*
* @param C a cluster of expressions' information
* @param T an expression's information
*
* @return true if any of the expressions from the cluster depends on the expression T
*/
template<typename, typename> struct ClusterDepends;
template<typename C, typename... Cs, typename T>
struct ClusterDepends<Pack<C, Cs...>, T> {
using next = ClusterDepends<Pack<Cs...>, T>;
static constexpr bool value = ExpressionDepends<C, T>::value || next::value;
};
template<typename T>
struct ClusterDepends<Pack<>, T> {
static constexpr bool value = false;
};
template<typename C, typename T>
constexpr bool clusterDepends = ClusterDepends<C, T>::value;
}
#endif

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#ifndef PFOR_PFOR_EXPRESSION_ACCESS_H
#define PFOR_PFOR_EXPRESSION_ACCESS_H
namespace pfor {
namespace expr {
/**
* Access type
*/
enum class Access { write, read };
}
}
#endif

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#ifndef PFOR_PFOR_EXPRESSION_ALGORITHM_H
#define PFOR_PFOR_EXPRESSION_ALGORITHM_H
#include "access.h"
#include "expression.h"
#include "operandtag.h"
#include "../mp/pack.h"
#include "../mp/meta.h"
namespace pfor {
namespace expr {
/**
* @brief returns a pack of sub expressions
*/
template<typename> struct SplitCommaImpl;
template<typename... Ts>
struct SplitCommaImpl<Expression<op::Comma, Ts...>> {
using type = Pack<Ts...>;
};
template<typename Op, typename... Ts>
struct SplitCommaImpl<Expression<Op, Ts...>> {
using type = Pack<Expression<Op, Ts...>>;
};
template<typename E>
using SplitComma = typename SplitCommaImpl<E>::type;
/**
* @brief returns a comma separated expression from pack
*/
template<typename> struct MergeCommaImpl;
template<typename... Ts>
struct MergeCommaImpl<Pack<Ts...>> {
using type = Expression<op::Comma, Ts...>;
};
template<typename T>
struct MergeCommaImpl<Pack<T>> {
using type = T;
};
template<typename P>
using MergeComma = typename MergeCommaImpl<P>::type;
/**
* @brief returns the worst access (write being worse than read)
*/
template<Access...> struct WorstAccess;
template<Access access, Access... accesses>
struct WorstAccess<access, accesses...> {
static constexpr Access value = (access == Access::write? Access::write:WorstAccess<accesses...>::value);
};
template<Access access>
struct WorstAccess<access> {
static constexpr Access value = access;
};
/**
*/
template<typename, typename> struct IncludeTagsImpl;
template<typename IncludeId, typename Id, Access access, typename Index, typename... Ts>
struct IncludeTagsImpl<IncludeId, Pack<OperandTag<Id, access, Index>, Ts...>> {
using trail = typename IncludeTagsImpl<IncludeId, Pack<Ts...>>::type;
using trailit = typename IncludeTagsImpl<IncludeId, Pack<Ts...>>::indices;
using type = pfor::If<std::is_same<IncludeId, Id>{}, PackPrepend<trail, OperandTag<Id, access, Index>>, trail>;
using indices = pfor::If<std::is_same<IncludeId, Id>{}, PackPrepend<trailit, Index>, trailit>;
};
template<typename IncludeId>
struct IncludeTagsImpl<IncludeId, Pack<>> {
using type = Pack<>;
using indices = Pack<>;
};
template<typename IncludeId, typename Tags>
using IncludeTags = typename IncludeTagsImpl<IncludeId, Tags>::type;
/**
*/
template<typename, typename> struct ExcludeTagsImpl;
template<typename ExcludeId, typename Id, Access access, typename Index, typename... Ts>
struct ExcludeTagsImpl<ExcludeId, Pack<OperandTag<Id, access, Index>, Ts...>> {
using trail = typename ExcludeTagsImpl<ExcludeId, Pack<Ts...>>::type;
using type = pfor::If<not std::is_same<ExcludeId, Id>{}, PackPrepend<trail, OperandTag<Id, access, Index>>, trail>;
};
template<typename ExcludeId>
struct ExcludeTagsImpl<ExcludeId, Pack<>> {
using type = Pack<>;
};
template<typename ExcludeId, typename Tags>
using ExcludeTags = typename ExcludeTagsImpl<ExcludeId, Tags>::type;
/**
*/
template<typename> struct CountWrite;
template<typename Id, Access access, typename Index, typename... Ts>
struct CountWrite<Pack<OperandTag<Id, access, Index>, Ts...>> {
static constexpr std::size_t value = (access == Access::write? 1:0) + CountWrite<Pack<Ts...>>::value;
};
template<>
struct CountWrite<Pack<>> {
static constexpr std::size_t value = 0;
};
template<typename P>
constexpr std::size_t countWrite = CountWrite<P>::value;
/**
*/
template<typename, Access> struct FilterOperandTagsImpl;
template<typename Id, Access access, typename Index, typename... Ts, Access accessReq>
struct FilterOperandTagsImpl<Pack<OperandTag<Id, access, Index>, Ts...>, accessReq> {
using trail = typename FilterOperandTagsImpl<Pack<Ts...>, accessReq>::type;
using type = pfor::If<access == accessReq, PackPrepend<trail, OperandTag<Id, access, Index>>, trail>;
};
template<Access access, typename Index, typename... Ts, Access accessReq>
struct FilterOperandTagsImpl<Pack<OperandTag<IgnoredId, access, Index>, Ts...>, accessReq> {
using type = typename FilterOperandTagsImpl<Pack<Ts...>, accessReq>::type;
};
template<Access access>
struct FilterOperandTagsImpl<Pack<>, access> {
using type = Pack<>;
};
template<typename E, Access access>
using FilterOperandTags = typename FilterOperandTagsImpl<E, access>::type;
/**
*/
template<typename> struct IndicesFromOperandTagsImpl;
template<typename Id, Access access, typename Index, typename... Ts>
struct IndicesFromOperandTagsImpl<Pack<OperandTag<Id, access, Index>, Ts...>> {
using type = PackPrepend<typename IndicesFromOperandTagsImpl<Pack<Ts...>>::type, Index>;
};
template<>
struct IndicesFromOperandTagsImpl<Pack<>> {
using type = Pack<>;
};
template<typename P>
using IndicesFromOperandTags = typename IndicesFromOperandTagsImpl<P>::type;
}
}
#endif

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#ifndef PFOR_PFOR_EXPRESSION_ASEXPRESSION_H
#define PFOR_PFOR_EXPRESSION_ASEXPRESSION_H
#include "expression.h"
namespace pfor {
namespace expr {
/**
* @brief turn into Expression if not already one
*/
template<typename, typename=void> struct AsExpressionImpl;
template<typename T>
struct AsExpressionImpl<T, std::enable_if_t<isExpression<T>>> {
using type = T;
};
template<typename T>
struct AsExpressionImpl<T, std::enable_if_t<not isExpression<T>>> {
using type = Constant<T>;
};
template<typename T>
using AsExpression = typename AsExpressionImpl<T>::type;
}
template<typename T>
expr::AsExpression<std::decay_t<T>> xpr(T&& v) {
return {std::forward<T>(v)};
}
}
#endif

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src/pfor/expression/expression.h Normal file
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#ifndef PFOR_PFOR_EXPRESSION_EXPRESSION_H
#define PFOR_PFOR_EXPRESSION_EXPRESSION_H
#include <tuple>
#include "op.h"
#include "tag.h"
#include "../index/index.h"
#include "../index/traits.h"
#include "../tuple_view.h"
namespace pfor {
namespace expr {
struct IgnoredId;
template<typename...> struct Expression;
template<typename...> struct Constant;
template<typename T>
struct Constant<T> {
using IsExpression = tag::Expression;
using DataType = T;
using Id = IgnoredId;
using ThisType = Constant<DataType, Id>;
DataType data;
Constant() = delete;
Constant(DataType const& data): data{data} {}
Constant(ThisType const& e): data{e.data} {}
inline DataType const& eval() { return data; }
inline DataType const& operator[](index::Value) const { return data; }
template<typename Index, std::enable_if_t<index::isIndex<Index>>* = nullptr>
inline ThisType& operator[](Index const&) { return *this; }
};
template<typename T>
struct Constant<T const*> {
using IsExpression = tag::Expression;
using DataType = T const*;
using Id = IgnoredId;
using ThisType = Constant<DataType, Id>;
DataType data;
Constant() = delete;
Constant(DataType const& data): data{data} {}
Constant(ThisType const& e): data{e.data} {}
inline T const& operator[](index::Value i) const { return data[i]; }
template<typename Index, std::enable_if_t<index::isIndex<Index>>* = nullptr>
inline ThisType& operator[](Index const&) { return *this; }
};
template<typename Expr, typename Prop>
struct Constant<index::IndexImpl<Expr, Prop>> {
using IsExpression = tag::Expression;
using DataType = index::Value;
using Id = IgnoredId;
using ThisType = Constant<DataType, Id>;
using Index = index::IndexImpl<Expr, Prop>;
Constant() = delete;
Constant(Index) {}
Constant(ThisType const&) {}
inline DataType operator[](index::Value i) const { return Index::eval(i); }
};
template<typename T, typename Id, typename Index_>
struct Expression<T*, Id, Index_> {
using IsExpression = tag::Expression;
using DataType = T*;
using Index = Index_;
using ThisType = Expression<DataType, Id, Index>;
DataType data;
Expression() = delete;
Expression(DataType data): data{data} {}
inline auto& operator[](index::Value i) { return data[Index::eval(i)]; }
template<typename NIndex, std::enable_if_t<index::isIndex<NIndex>>* = nullptr>
inline auto operator[](NIndex const&) { return Expression<DataType, Id, NIndex>{data}; }
inline auto begin() { return std::begin(data); }
inline auto end() { return std::end(data); }
// inline auto operator=(ThisType const& rhs) {
// return Expression<op::Assign, ThisType, ThisType>{{}, *this, rhs};
// }
template<typename Rhs, std::enable_if_t<isExpression<Rhs>>* = nullptr>
inline auto operator=(Rhs rhs) {
return Expression<op::Assign, ThisType, Rhs>{{}, *this, rhs};
}
template<typename Rhs, std::enable_if_t<not isExpression<Rhs>>* = nullptr>
inline auto operator=(Rhs rhs) {
return Expression<op::Assign, ThisType, Constant<Rhs>>{{}, *this, rhs};
}
inline auto operator++(int) { return Expression<op::PostIncr, ThisType>{{}, *this}; }
inline auto operator--(int) { return Expression<op::PostDecr, ThisType>{{}, *this}; }
inline auto operator++() { return Expression<op::PreIncr, ThisType>{{}, *this}; }
inline auto operator--() { return Expression<op::PreDecr, ThisType>{{}, *this}; }
};
template<typename T, std::size_t n, typename Id, typename Index_>
struct Expression<std::array<T, n>, Id, Index_> {
using IsExpression = tag::Expression;
using DataTypeRaw = std::array<T, n>;
using DataType = DataTypeRaw&;
using Index = Index_;
using ThisType = Expression<DataTypeRaw, Id, Index>;
DataType data;
Expression() = delete;
Expression(DataType data): data{data} {}
inline auto& operator[](index::Value i) { return data[Index::eval(i)]; }
template<typename NIndex, std::enable_if_t<index::isIndex<NIndex>>* = nullptr>
inline auto operator[](NIndex const&) { return Expression<DataTypeRaw, Id, NIndex>{data}; }
inline auto begin() { return std::begin(data); }
inline auto end() { return std::end(data); }
// inline auto operator=(ThisType const& rhs) {
// return Expression<op::Assign, ThisType, ThisType>{{}, *this, rhs};
// }
template<typename Rhs, std::enable_if_t<isExpression<Rhs>>* = nullptr>
inline auto operator=(Rhs rhs) {
return Expression<op::Assign, ThisType, Rhs>{{}, *this, rhs};
}
template<typename Rhs, std::enable_if_t<not isExpression<Rhs>>* = nullptr>
inline auto operator=(Rhs rhs) {
return Expression<op::Assign, ThisType, Constant<Rhs>>{{}, *this, rhs};
}
inline auto operator++(int) { return Expression<op::PostIncr, ThisType>{{}, *this}; }
inline auto operator--(int) { return Expression<op::PostDecr, ThisType>{{}, *this}; }
inline auto operator++() { return Expression<op::PreIncr, ThisType>{{}, *this}; }
inline auto operator--() { return Expression<op::PreDecr, ThisType>{{}, *this}; }
};
template<typename Op, typename... ETs>
struct Expression<Op, ETs...> {
using IsExpression = tag::Expression;
using ThisType = Expression<Op, ETs...>;
static constexpr std::size_t arity = sizeof...(ETs);
using AritySequence = decltype(std::make_index_sequence<arity>());
Op op;
std::tuple<ETs...> operands;
Expression() = delete;
Expression(Op const& op, ETs const&... e): op(op), operands{e...} {}
Expression(ThisType const& e): op(e.op), operands{e.operands} {}
Expression(ThisType&& e): op(std::move(e.op)), operands{std::move(e.operands)} {}
inline decltype(auto) eval() { return eval(AritySequence{}); }
inline decltype(auto) operator[](index::Value i) { return eval(i, AritySequence{}); }
// inline auto operator=(ThisType const& rhs) {
// return Expression<op::Assign, ThisType, ThisType>{{}, *this, rhs};
// }
template<typename Rhs, std::enable_if_t<isExpression<Rhs>>* = nullptr>
inline auto operator=(Rhs rhs) {
return Expression<op::Assign, ThisType, Rhs>{{}, *this, rhs};
}
template<typename Rhs, std::enable_if_t<not isExpression<Rhs>>* = nullptr>
inline auto operator=(Rhs rhs) {
return Expression<op::Assign, ThisType, Constant<Rhs>>{{}, *this, rhs};
}
template<std::size_t... indices>
inline decltype(auto) eval(std::index_sequence<indices...>) {
return op.eval(std::get<indices>(operands)...);
}
template<std::size_t... indices>
inline decltype(auto) eval(index::Value i, std::index_sequence<indices...>) {
return op.eval(i, std::get<indices>(operands)...);
}
inline auto operator++(int) { return Expression<op::PostIncr, ThisType>{{}, *this}; }
inline auto operator--(int) { return Expression<op::PostDecr, ThisType>{{}, *this}; }
inline auto operator++() { return Expression<op::PreIncr, ThisType>{{}, *this}; }
inline auto operator--() { return Expression<op::PreDecr, ThisType>{{}, *this}; }
};
template<typename Op, typename View, typename... ETs>
struct Expression<op::View<Op>, View, ETs...> {
using IsExpression = tag::Expression;
using ThisType = Expression<Op, View, ETs...>;
using Tuple = std::tuple<ETs...>;
using RefExpression = Expression<Op, ETs...>;
static constexpr std::size_t arity = packSize<View>;
using AritySequence = decltype(std::make_index_sequence<arity>());
Op op;
TupleView<Tuple, View> operands;
Expression() = delete;
Expression(RefExpression& e): op(e.op), operands{e.operands} {}
Expression(ThisType const& e): op(e.op), operands{e.operands} {}
Expression(ThisType&& e): op(std::move(e.op)), operands{std::move(e.operands)} {}
inline decltype(auto) eval() { return eval(AritySequence{}); }
inline decltype(auto) operator[](index::Value i) { return eval(i, AritySequence{}); }
template<std::size_t... indices>
inline decltype(auto) eval(std::index_sequence<indices...>) {
return op.eval(std::get<indices>(operands)...);
}
template<std::size_t... indices>
inline decltype(auto) eval(index::Value i, std::index_sequence<indices...>) {
return op.eval(i, std::get<indices>(operands)...);
}
};
}
}
#endif

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