The OpenMP version requires OpenMP to be installed and for "openmp" to be on the GCC path. The Brent-Kung version requires an NVIDIA CUDA-capable GPU with at least 2GB memory.
make benchmarks- Runs benchmarks for all versions
make benchmarks VERSION=iterative- Runs benchmarks for the single-threaded iterative version
make benchmarks VERSION=openmp_release- Runs benchmakrs for the OpenMP version
make benchmarks VERSION=brent_release- Runs benchmarks for the Brent-Kung version
The output can be found in a local file
benchmarks.csv
- Tested and works on wino.cs.pdx.edu on array sizes up to 268,435,456 (2^28) for section sizes 1024 and 2048.
- The GPUs have ~2GB of memory, and an array of 2^28
floatuses ~1GB. It's safer to not approach 2GB since the GPU is shared with the display device, etc.
- The GPUs have ~2GB of memory, and an array of 2^28
- The algorithm is done in-place on the device to conserve memory, and the output is copied to the output array, so a user would be oblivious to this.
- Tested and works on wino.cs.pdx.edu and babbage.cs.pdx.edu on array sizes up to 268,435,456 (2^28) for 2, 4, 8,16, and 32 threads.
- Modeled after https://www.cs.fsu.edu/~engelen/courses/HPC/Synchronous.pdf
make tests runs various tests on the CUDA and OMP versions and compares it to the iterative version.
make benchmarks will produce a .csv with various array sizes, sections sizes of 1024 and 2048, and threads of 2, 4, 8, 16, and 32 for the CUDA, OMP, and iterative version.