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| author | Timothy G Rogers <[email protected]> | 2018-11-01 17:14:09 -0400 |
|---|---|---|
| committer | GitHub Enterprise <[email protected]> | 2018-11-01 17:14:09 -0400 |
| commit | 68fb9df6d85479cdbae25a185a81d7ec723b3ac2 (patch) | |
| tree | 68f4048e0f1bf390312184fe21083a8501e0a255 /README | |
| parent | 1be6f76f5d57bd5dda6f0ca4dae3824f0e55eff9 (diff) | |
| parent | f06a527258b4a6634f8f148536bb86635b058d55 (diff) | |
Merge pull request #30 from abdallm/dev
Dev
Diffstat (limited to 'README')
| -rw-r--r-- | README | 15 |
1 files changed, 15 insertions, 0 deletions
@@ -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/>. |
