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@@ -18,6 +18,11 @@ 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 GPGPU-Sim 3.3 version in your research, 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 GPUWattch energy model in your research, please cite: Jingwen Leng, Tayler Hetherington, Ahmed ElTantawy, Syed Gilani, Nam Sung Kim, @@ -38,6 +43,16 @@ Complex Dynamics in Many-Core Accelerator Architectures, In Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 164-174, White Plains, NY, March 28-30, 2010. +On-progress work (to be released soon): +Currently, we extensivly update our gpgpu-sim infrastructure. This contains: +1- Change the Functional model to be trace-driven-based and support the moden machine Pascal SASS 6.0 ISA. +2- Adding Volta Core model (including the Tensor Core support) +3- Supporting Nvidia dev libraries (CuBLAS, CUDNN, etc) +4- Supporting NUMA multi-chip GPU systems. +5- Heterogeneous memory support (HBM, NVRAM and GDDR5X) +6- Integrating with SST infrastructure. +7- Updating and improving the accuracy the GPUWATTCH to model Pascal and Volta. + This file contains instructions on installing, building and running GPGPU-Sim. Detailed documentation on what GPGPU-Sim models, how to configure it, and a guide to the source code can be found here: <http://gpgpu-sim.org/manual/>. |