You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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 ...
The text was updated successfully, but these errors were encountered:
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 ...
The text was updated successfully, but these errors were encountered: