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| author | Mahmoud <[email protected]> | 2019-05-02 15:16:56 -0400 |
|---|---|---|
| committer | Mahmoud <[email protected]> | 2019-05-02 15:16:56 -0400 |
| commit | 4daf2586234abfb1fcb77d2b668c18129968e239 (patch) | |
| tree | c62cc546c8dd4edb1d162425d3c048568b1e52b6 /README | |
| parent | 3764ceaff2110bcd191271cca341e516b9520338 (diff) | |
| parent | 60cbe5e00a76a655b093041d4ed3df3d07379094 (diff) | |
Merge branch 'dev' of https://github.com/gpgpu-sim/gpgpu-sim_distribution into dev
Diffstat (limited to 'README')
| -rw-r--r-- | README | 12 |
1 files changed, 10 insertions, 2 deletions
@@ -18,15 +18,23 @@ 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 M. 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, Exploring Modern GPU Memory System Design Challenges through Accurate Modeling, arXiv:1810.07269, https://arxiv.org/abs/1810.07269 -If you use the tensorcore in GPGPU-Sim or CUTLASS Library in your research +If you use the Tensor Core in GPGPU-Sim or CUTLASS Library for your research please cite: - add the arxiv link here +Md Aamir Raihan, Negar Goli, Tor Aamodt, +Modeling Deep Learning Accelerator Enabled GPUs, arXiv:1811.08309, +https://arxiv.org/abs/1811.08309 If you use the GPUWattch energy model in your research, please cite: |