nwchem-tce-triples-kernels
BabelStream
nwchem-tce-triples-kernels | BabelStream | |
---|---|---|
1 | 1 | |
11 | 310 | |
- | 2.6% | |
6.8 | 7.7 | |
4 months ago | 14 days ago | |
C | C++ | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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nwchem-tce-triples-kernels
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Fortran on GPU
I've evaluated all of these against each other. One presentation is https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41620/ (sorry, you have to register - it's not my preference). The performance numbers there are based on code derived from https://github.com/ParRes/Kernels/tree/default/FORTRAN (the code differences are not interesting). Another comparison is found in https://github.com/jeffhammond/nwchem-tce-triples-kernels, which is more complicated in some ways.
BabelStream
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Fortran on GPU
I wrote the Fortran version of BabelStream (https://github.com/UoB-HPC/BabelStream/pull/135) to compare all of these, which might be useful as well. There is also MiniWeather, which supports all OpenMP, OpenACC and StdPar for GPU: https://github.com/mrnorman/miniWeather/tree/main/fortran.
What are some alternatives?
miniWeather - A parallel programming training mini app simulating weather-like flows
bedrock-clump - A GPU accelerated program to search the minecraft world for the largest connected clump of layer 5 bedrock
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
gpu-kernel-runner - Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line
ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)