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| author | speverel <[email protected]> | 2017-08-10 15:00:36 -0700 |
|---|---|---|
| committer | GitHub <[email protected]> | 2017-08-10 15:00:36 -0700 |
| commit | 21ad40b4918f08bf8508487b9aab700948fe8c84 (patch) | |
| tree | c271e1e71da35305356e998699249f266ff1c08e /README | |
| parent | 0afe825c212560c3b473366d005a50c2568cad1a (diff) | |
| parent | 1be6f76f5d57bd5dda6f0ca4dae3824f0e55eff9 (diff) | |
Merge pull request #1 from gpgpu-sim/dev
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 |