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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.
@@ -18,9 +18,10 @@ 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:
+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,
+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:
@@ -43,16 +44,6 @@ 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/>.