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authorgpgpu-sim <[email protected]>2018-10-29 13:55:31 -0700
committerGitHub <[email protected]>2018-10-29 13:55:31 -0700
commit42d8d8c9b5b0eb93ff228a877fd6a5bed5cf956d (patch)
tree7bc8917d1f685487d775975596f9b22a063e4aef /README
parent68134d5eb326552fc1ef4b02b2eb21103266283b (diff)
parentea226a289bcdf94811712a4563ae3eb334ee3a7b (diff)
Merge pull request #79 from purdue-aalp/dev
Merging dev-purdue to public-dev-gpgpu-sim-repo
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@@ -5,8 +5,8 @@ AerialVision and a configurable and extensible energy model called GPUWattch.
GPGPU-Sim and GPUWattch have been rigorously validated with performance and
power measurements of real hardware GPUs.
-This version of GPGPU-Sim has been tested with CUDA version 2.3, 3.1, 4.0,
-5.0, 5.5, 6.0 and 7.5.
+This version of GPGPU-Sim has been tested with CUDA version 4.2,
+5.0, 5.5, 6.0 and 7.5, 8.0, 9.0, 9.1
Please see the copyright notice in the file COPYRIGHT distributed with this
release in the same directory as this file.
@@ -18,6 +18,12 @@ 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 the memory system in GPGPU-Sim, or the Volta/Pascal models,
+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,