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authoraamir <[email protected]>2018-11-03 17:03:58 -0700
committeraamir <[email protected]>2018-11-03 17:03:58 -0700
commiteae030c9d1d607d1c14e4ade99cb5caea6403efd (patch)
treecae49cbe338f9aa84c0badb6f543154b29e6f8b0 /README
parenta77c16f1ef6efc0b58eb14273aa52663eb7845b3 (diff)
merged with memory subsytem. Regression is passing but tensorcore kernel is stuck in deadlock
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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,