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Kernels
This is a set of simple programs that can be used to explore the features of a parallel platform.
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nwchem-tce-triples-kernels
NWChem TCE CCSD(T) loop-driven kernels for performance optimization experiments
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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.
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.
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.
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.
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