Kernel concurrency opportunities based on GPU benchmarks characterization-Reference-Cited by-同舟云学术

Kernel concurrency opportunities based on GPU benchmarks characterization

Published:2019-01-17 Issue:1 Volume:23 Page:177-188
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Carvalho Pablo,Cruz Rommel,Drummond Lucia M. A.,Bentes Cristiana^ORCID,Clua Esteban,Cataldo Edson,Marzulo Leandro A. J.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s10586-018-02901-1.pdf

Reference31 articles.

1. Adriaens, J.T., Compton, K., Kim, N.S., Schulte, M.J.: The case for GPGPU spatial multitasking. In: IEEE 18th International Symposium on High Performance Computer Architecture (HPCA), pp. 1–12. IEEE (2012)

2. Asanovic, K.: The landscape of parallel computing research: a view from berkeley. Tech. Rep. UCB/EECS-2006-183, EECS Department, University of California, Berkley, CA, USA (2006)

3. Bakhoda, A., Yuan, G.L., Fung, W.W., Wong, H., Aamodt, T.M.: Analyzing CUDA workloads using a detailed GPU simulator. In: IEEE International Symposium on Performance Analysis of Systems and Software, 2009. ISPASS 2009, pp. 163–174. IEEE (2009)

4. Bienia, C.: Benchmarking Modern Multiprocessors. Princeton University, Princeton (2011)

5. Bienia, C.: Benchmarking modern multiprocessors. Ph.D. thesis, Princeton University (2011)

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