diff options
| author | Tor Aamodt <[email protected]> | 2010-10-01 08:55:28 -0800 |
|---|---|---|
| committer | Tor Aamodt <[email protected]> | 2010-10-01 08:55:28 -0800 |
| commit | 11b308e7363e937966b035b4891db32b4eece3bf (patch) | |
| tree | 50ca4c9ad6f163ac4acb2bf505e64dfebed66947 /benchmarks/README.ISPASS-2009 | |
| parent | bb820c116764d7a1b8e071137d32b74e7f34dd2f (diff) | |
integrating recent changes from fermi-test into fermi
(i'll use "fermi" for more disruptive changes to the pipeline model such
as updating the MSHRs and getting rid of the warp tracker, ripping out DWF, etc...)
[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 7805]
Diffstat (limited to 'benchmarks/README.ISPASS-2009')
| -rw-r--r-- | benchmarks/README.ISPASS-2009 | 68 |
1 files changed, 0 insertions, 68 deletions
diff --git a/benchmarks/README.ISPASS-2009 b/benchmarks/README.ISPASS-2009 deleted file mode 100644 index e51fd91..0000000 --- a/benchmarks/README.ISPASS-2009 +++ /dev/null @@ -1,68 +0,0 @@ -The directories AES, BFS, CP, LPS, LIB, MUM, NN, NQU, RAY, STO, and WP (see the -CUDA directory) contain benchmarks used in the ISPASS 2009 paper on GPGPU-Sim. -Their original sources are listed below. For details on how to build and run -each benchmark, follow the instructions in the README.GPGPU-Sim file in each -subdirectory. Assuming all dependencies are satisifed, you can build all the -benchmarks by typing "make" in this directory. - -AES - -S. A. Manavski. CUDA compatible GPU as an efficient hardware -accelerator for AES cryptography. In ICSPC 2007: Proc. of IEEE Int’l -Conf. on Signal Processing and Communication, pages 65–68, 2007. - -BFS: - -P. Harish and P. J. Narayanan. Accelerating Large Graph Algorithms -on the GPU Using CUDA. In HiPC, pages 197–208, 2007. - -CP: - -http://www.crhc.uiuc.edu/IMPACT/parboil.php. - -DG: -T. C. Warburton. Mini Discontinuous Galerkin Solvers. -http://www.caam.rice.edu/˜timwar/RMMC/MIDG.html. - -LPS: - -M. Giles. Jacobi iteration for a Laplace discretisation on a 3D structured -grid. http://people.maths.ox.ac.uk/˜gilesm/hpc/NVIDIA/laplace3d.pdf - -LIB: - -M. Giles and S. Xiaoke. Notes on using the NVIDIA 8800 GTX graphics -card. http://people.maths.ox.ac.uk/˜gilesm/hpc/ - -MUM: - -M. Schatz, C. Trapnell, A. Delcher, and A. Varshney. High-throughput -sequence alignment using Graphics Processing Units. BMC Bioinformatics, - 8(1):474, 2007. - -NN: - -Billconan and Kavinguy. A Neural Network on GPU. -http://www.codeproject.com/KB/graphics/GPUNN.aspx. - -NQU: - -Pcchen. N-Queens Solver. -http://forums.nvidia.com/index.php?showtopic=76893 - -RAY: - -Maxime. Ray tracing. http://www.nvidia.com/cuda. - -STO: - -S. Al-Kiswany, A. Gharaibeh, E. Santos-Neto, G. Yuan, and M. Ripeanu. -StoreGPU: exploiting graphics processing units to accelerate distributed -storage systems. In Proc. 17th Int’l Symp. on High Performance -Distributed Computing, pages 165–174, 2008. - -WP: - -J. Michalakes and M. Vachharajani. GPU acceleration of numerical -weather prediction. IPDPS 2008: IEEE Int’l Symp. on Parallel and -Distributed Processing, pages 1–7, April 2008. |
