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@@ -18,15 +18,18 @@ Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling. In proceedings of the 47th IEEE/ACM International Symposium on Computer Architecture (ISCA), May 29 - June 3, 2020. -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 +If you use CuDNN or PyTorch support, checkpointing or our new debugging tool for functional +simulation errors 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 Tensor Core in GPGPU-Sim or CUTLASS Library for your research -please cite: +If you use the Tensor Core model in GPGPU-Sim or GPGPU-Sim's CUTLASS Library +for your research please cite: + Md Aamir Raihan, Negar Goli, Tor Aamodt, Modeling Deep Learning Accelerator Enabled GPUs, arXiv:1811.08309, https://arxiv.org/abs/1811.08309 |