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| author | deval281shah <[email protected]> | 2018-11-25 21:16:35 -0800 |
|---|---|---|
| committer | GitHub <[email protected]> | 2018-11-25 21:16:35 -0800 |
| commit | e626a331401ae4bc497e4b42dee2210d7e06c521 (patch) | |
| tree | 6493e0708dd655e087b8976a2d619509a195278e | |
| parent | e221d5e8fe0515fae3a09abe0b89030476ff1a92 (diff) | |
update README
| -rw-r--r-- | README | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -18,7 +18,7 @@ Analyzing CUDA Workloads Using a Detailed GPU Simulator, in IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Boston, MA, April 19-21, 2009. -If you use cuDNN and Pytorch support in GPGPU-Sim, the Checkpoint function or the Debigging tool for functional simulation error in GPGPU-Sim for your research +If you use cuDNN and Pytorch support, the Checkpoint function or the Debigging tool for functional simulation error in GPGPU-Sim for your research, please cite: Jonathan Lew, Deval Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor Aamodt Analyzing Machine Learning Workloads Using a Detailed GPU Simulator, arXiv:1811.08933, |