nwchem-tce-triples-kernels VS BabelStream

Compare nwchem-tce-triples-kernels vs BabelStream and see what are their differences.

nwchem-tce-triples-kernels

NWChem TCE CCSD(T) loop-driven kernels for performance optimization experiments (by jeffhammond)
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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

Posts with mentions or reviews of nwchem-tce-triples-kernels. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-21.
  • Fortran on GPU
    4 projects | /r/fortran | 21 Oct 2022
    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

Posts with mentions or reviews of BabelStream. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-21.
  • Fortran on GPU
    4 projects | /r/fortran | 21 Oct 2022
    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?

When comparing nwchem-tce-triples-kernels and BabelStream you can also consider the following projects:

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)