From 1163697911ee6784d096ea59c9bb5b20b792f516 Mon Sep 17 00:00:00 2001 From: Tor Aamodt Date: Sun, 18 Oct 2020 11:17:37 -0700 Subject: fix typos --- README.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) (limited to 'README.md') diff --git a/README.md b/README.md index 96c1d15..9f9f669 100644 --- a/README.md +++ b/README.md @@ -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 -- cgit v1.3