Merge branch 'dev' of https://github.com/purdue-aalp/gpgpu-sim_distribution into dev

1 files changed, 5 insertions, 14 deletions

diff --git a/README b/README
index cb59241..7eaae5d 100644
--- a/README
+++ b/README
@@ -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/>.