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This folder contains a couple of benchmark utities and Eigen benchmarks.
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* bench_multi_compilers.sh *
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This script allows to run a benchmark on a set of different compilers/compiler options.
It takes two arguments:
- a file defining the list of the compilers with their options
- the .cpp file of the benchmark
Examples:
$ ./bench_multi_compilers.sh basicbench.cxxlist basicbenchmark.cpp
g++-4.1 -O3 -DNDEBUG -finline-limit=10000
3d-3x3 / 4d-4x4 / Xd-4x4 / Xd-20x20 /
0.271102 0.131416 0.422322 0.198633
0.201658 0.102436 0.397566 0.207282
g++-4.2 -O3 -DNDEBUG -finline-limit=10000
3d-3x3 / 4d-4x4 / Xd-4x4 / Xd-20x20 /
0.107805 0.0890579 0.30265 0.161843
0.127157 0.0712581 0.278341 0.191029
g++-4.3 -O3 -DNDEBUG -finline-limit=10000
3d-3x3 / 4d-4x4 / Xd-4x4 / Xd-20x20 /
0.134318 0.105291 0.3704 0.180966
0.137703 0.0732472 0.31225 0.202204
icpc -fast -DNDEBUG -fno-exceptions -no-inline-max-size
3d-3x3 / 4d-4x4 / Xd-4x4 / Xd-20x20 /
0.226145 0.0941319 0.371873 0.159433
0.109302 0.0837538 0.328102 0.173891
$ ./bench_multi_compilers.sh ompbench.cxxlist ompbenchmark.cpp
g++-4.2 -O3 -DNDEBUG -finline-limit=10000 -fopenmp
double, fixed-size 4x4: 0.00165105s 0.0778739s
double, 32x32: 0.0654769s 0.075289s => x0.869674 (2)
double, 128x128: 0.054148s 0.0419669s => x1.29025 (2)
double, 512x512: 0.913799s 0.428533s => x2.13239 (2)
double, 1024x1024: 14.5972s 9.3542s => x1.5605 (2)
icpc -fast -DNDEBUG -fno-exceptions -no-inline-max-size -openmp
double, fixed-size 4x4: 0.000589848s 0.019949s
double, 32x32: 0.0682781s 0.0449722s => x1.51823 (2)
double, 128x128: 0.0547509s 0.0435519s => x1.25714 (2)
double, 512x512: 0.829436s 0.424438s => x1.9542 (2)
double, 1024x1024: 14.5243s 10.7735s => x1.34815 (2)
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* benchmark_aocl *
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This benchmark exercises Eigen operations using AMD Optimized Libraries
(AOCL). It is disabled by default and can be enabled when configuring the
build:
cmake .. -DEIGEN_BUILD_AOCL_BENCH=ON
The resulting `benchmark_aocl` target is compiled with `-O3` and, if the
compiler supports it, `-march=znver5` for optimal performance on AMD
processors.
The benchmark also links to `libblis-mt.so` and `libflame.so` so BLAS and
LAPACK operations run with multithreaded AOCL when available.
By default the CMake build defines `EIGEN_USE_AOCL_MT` via the option
`EIGEN_AOCL_BENCH_USE_MT` (enabled). Set this option to `OFF` if you want
to build the benchmark using the single-threaded AOCL libraries instead,
in which case `EIGEN_USE_AOCL_ALL` is defined.
Alternatively you can build the same benchmark using the
`Makefile` in this directory. This allows experimenting with
different compiler flags without reconfiguring CMake:
```
cd bench && make # builds with -O3 -march=znver5 by default
make clean && make CXX="clang++" ## For differnt compiler apart from g++
make clean && make MARCH="" CXXFLAGS="-O2" # example of custom flags
make AOCL_ROOT=/opt/aocl # use AOCL from a custom location
This Makefile links against `libblis-mt.so` and `libflame.so` so the
matrix multiplication benchmark exercises multithreaded BLIS when
`EIGEN_USE_AOCL_MT` is defined (enabled by default in the Makefile).
If you prefer to compile manually, ensure that the Eigen include path
points to the directory where `AOCL_Support.h` resides. For example:
clang++ -O3 -std=c++14 -I../build/install/include \
-march=znver5 -DEIGEN_USE_AOCL_MT \
benchmark_aocl.cpp -o benchmark_aocl \
-lblis-mt -lflame -lamdlibm -lpthread -lm
```
Replace `../install/include` with your actual Eigen install path.
When invoking `make`, you can point `AOCL_ROOT` to your AOCL
installation directory so the Makefile links against `$(AOCL_ROOT)/lib`.