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Benchmarking Deep Learning operations on different hardware

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Interpreting DeepBench MMul results

CoffeeBeforeArch opened this issue · comments

commented

Hi all,

I had a quick question on interpreting some of the results in the .xlsx results docs. Do the groupings for the dense matrix multiplication results have any significance? There seems to be a group of mmul configurations, followed by a space, then more configurations. I'm doing some benchmarking research, and it would be nice to know if these groups of configurations have any meaning.

Here's a link to one of the results sheets that shows this - https://github.com/baidu-research/DeepBench/blob/master/results/train/DeepBench_NV_V100.xlsx

Thanks in advance for the help!

commented

The grouping of the configurations don't have any meaning. The applications for each of the kernels are mentioned in the spreadsheet which may be helpful to you.