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Improving repository to hold finer-grain workload bechmarking/tuning statistics #7

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gfursin opened this issue Nov 1, 2016 · 0 comments

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gfursin commented Nov 1, 2016

We mainly support coarse-grain crowd-benchmarking/crowd-tuning, i.e. global stats per whole program or one main function. Next, we need to improve repository to keep stats per multiple functions/kernels within analyzed program (while keeping track of any optimizatoins on this level, i.e. compiler flags, passes, OpenCL/CUDA/OpenMP/MPI parameters, etc). This will be useful to unify Caffe/TensorFlow/BLAS crowd-benchmarking and crowd-tuning under one engine ...

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