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| author | Tor Aamodt <[email protected]> | 2018-03-28 15:53:59 -0700 |
|---|---|---|
| committer | Tor Aamodt <[email protected]> | 2018-03-28 15:53:59 -0700 |
| commit | d0ee86a0d39f9dfa1eba13ea6cca1b1d0e86523b (patch) | |
| tree | b64f6bc12df0785271f73ddc805c1e2b05db0f1c /README | |
| parent | 7758943c96d22cd65f3de30b36c71b27370de5ce (diff) | |
| parent | 635366fe3e9b596318647b9c5bcdd546c522d52a (diff) | |
Merge remote-tracking branch 'upstream/dev' into dev
Diffstat (limited to 'README')
| -rw-r--r-- | README | 9 |
1 files changed, 8 insertions, 1 deletions
@@ -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 |