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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