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Training data sets

Publicly available datasets

Dataset name Source
Tensorflow https://polybox.ethz.ch/index.php/s/ojd0RPFOtUTPPRr
AMD APP SDK https://polybox.ethz.ch/index.php/s/SaKQ9L7dGs9zJXK
BLAS https://polybox.ethz.ch/index.php/s/5ASMNv6dYsPKjyQ
PolybenchGPU https://polybox.ethz.ch/index.php/s/nomO17gdAfHjqFQ
Rodinia https://polybox.ethz.ch/index.php/s/J93jGpevs0lHsHM
SHOC https://polybox.ethz.ch/index.php/s/7KGEq1Q45Xg0IeL
Linux kernel https://polybox.ethz.ch/index.php/s/uxAAONROj1Id65y
OpenCV https://polybox.ethz.ch/index.php/s/KnWjolzAL2xxKWN
Eigen (synthetic) https://polybox.ethz.ch/index.php/s/52wWiK5fjRGHLJR
GEMM synthetic https://polybox.ethz.ch/index.php/s/Bm6cwAY3eVkR6v3
Stencil synthetic https://polybox.ethz.ch/index.php/s/OOmylxGcBxQM1D3

Datasets available for download upon request

In addition to the publicly available datasets, you may want to train on data sets which can be downloaded upon request:

Dataset name Source
Parboil http://impact.crhc.illinois.edu/Parboil/parboil_download_page.aspx
NAS http://aces.snu.ac.kr/software/snu-npb/
Nvidia samples Bundled with the CUDA toolkit