Space, Time, Power: Evolving Concerns for Parallel Algorithms Quentin F. Stout Computer Science and Engineering University of Michigan qstoutqstout.
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2/12/04 Distributed & Parallel Computing Cluster Patrick McGuigan [email protected].
1 ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 20, 2011 CUDA Programming Model These notes will introduce: Basic GPU programming model.
Verifying Conformance to Memory Models: the Test Model-checking Approach Ganesh Gopalakrishnan (funded by NSF) presenting work done by Ratan Nalumasu.
Big Red, the Data Capacitor, and the future (clouds) Craig A. Stewart [email protected] 2 March 2008.
EEL 4930/5934, Fall 09 December 3-4, 2009 Novo-G : Adaptively Custom Reconfigurable Supercomputer Dr. Alan D. George Professor of ECE University of Florida.
The SCaLeS Report Opportunities and Needs in Basic Energy Sciences
Evolution of Computational Approaches in NWChem Eric J. Bylaska, W. De Jong, K. Kowalski, N. Govind, M. Valiev, and D. Wang High Performance Software Development.
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P lasma E nergetic P article S imulation C enter ( PEPSC )*
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