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@@ -5,7 +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 and 4.0.
+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.
Please see the copyright notice in the file COPYRIGHT distributed with this
release in the same directory as this file.
@@ -24,6 +25,12 @@ Tor M. Aamodt, Vijay Janapa Reddi, GPUWattch: Enabling Energy Optimizations in
GPGPUs, In proceedings of the ACM/IEEE International Symposium on Computer
Architecture (ISCA 2013), Tel-Aviv, Israel, June 23-27, 2013.
+If you use the support for CUDA dynamic parallelism in your research, please cite:
+
+Jin Wang and Sudhakar Yalamanchili, Characterization and Analysis of Dynamic
+Parallelism in Unstructured GPU Applications, 2014 IEEE International Symposium
+on Workload Characterization (IISWC), November 2014.
+
If you use figures plotted using AerialVision in your publications, please cite:
Aaron Ariel, Wilson W. L. Fung, Andrew Turner, Tor M. Aamodt, Visualizing