A scalable approach to solving dense linear algebra problems on hybrid CPU-GPU systems
Author:
Affiliation:
1. Indiana University-Purdue University Indianapolis; Indianapolis 46202 IN USA
2. University of Tennessee; Knoxville 37996 TN USA
3. Oak Ridge National Laboratory; Oak Ridge 37831 TN USA
4. University of Manchester; Manchester M13 9PL UK
Funder
National Science Foundation
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Reference37 articles.
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3. Huang S Xiao S Feng W On the energy efficiency of graphics processing units for scientific computing Ieee International Symposium on Parallel Distributed Processing (ipdps) Rome, Italy 2009 1 8 10.1109/IPDPS.2009.5160980
4. An integrated GPU power and performance model;Hong;SIGARCH Comput. Archit. News,2010
5. Scalable parallel programming with CUDA;Nickolls;Queue,2008
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