Improving performance of GPU code using novel features of the NVIDIA kepler architecture-Reference-Cited by-同舟云学术

Improving performance of GPU code using novel features of the NVIDIA kepler architecture

Published:2016-01-09 Issue:13 Volume:28 Page:3586-3605
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Li Yuanzhe¹,Schwiebert Loren¹,Hailat Eyad¹,Mick Jason²,Potoff Jeffrey²

Affiliation:

1. Department of Computer Science Wayne State University Detroit USA

2. Department of Chemical Engineering Wayne State University Detroit USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.3744

Reference26 articles.

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2. HPC '13;Hailat E,2013

3. Parallel monte carlo simulation in the canonical ensemble on the graphics processing unit;Hailat E;International Journal of Parallel, Emergent and Distributed Systems,2013

4. NVIDIA Corporation.NVIDIA fermi compute architecture whitepaper 2009.

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