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| author | Tor Aamodt <[email protected]> | 2018-11-25 22:00:44 -0800 |
|---|---|---|
| committer | GitHub <[email protected]> | 2018-11-25 22:00:44 -0800 |
| commit | e1e6e550403fb8a6d9a6ee1a8306d146946a6a50 (patch) | |
| tree | 6493e0708dd655e087b8976a2d619509a195278e | |
| parent | 7c56a9c2c6f93c6901bf533d9f55d04700b4d9f4 (diff) | |
| parent | e626a331401ae4bc497e4b42dee2210d7e06c521 (diff) | |
Merge pull request #87 from deval281shah/dev
update README
| -rw-r--r-- | README | 6 |
1 files changed, 6 insertions, 0 deletions
@@ -18,6 +18,12 @@ 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, 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, +https://arxiv.org/abs/1811.08933 + If you use the memory system in GPGPU-Sim, or the Volta/Pascal models, please cite: Mahmoud Khairy, Jain Akshay, Tor Aamodt, Timothy G Rogers, |