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Teaching parallel computing to science faculty : best pr..:

, In: Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming,

Joiner, David A. ; Gray, Paul ; Murphy, Thomas. - p. 239-246 , 2006

Link: https://dl.acm.org/doi/10.1145/1122971.1123007

RT 
T1 <cTitle>Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming</cTitle>: T1 <Title>Teaching parallel computing to science faculty				: best practices and common pitfalls</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-1123007&Exemplar=1&LAN=DE
				
A1 Joiner, David A.
A1 Gray, Paul
A1 Murphy, Thomas
A1 Peck, Charles
PB ACM
YR 2006
K1 diskless clusters
K1 high performance computing education
K1 parallel computing education
K1 parallel computing environments
K1 performance analysis of parallel or distributed software
K1 tools for developing parallel or distributed software
K1 Hardware
K1 Robustness
K1 Hardware test
K1 Social and professional topics
K1 Professional topics
K1 Computing education
K1 Computing education programs
K1 Computer science education
K1 Computing methodologies
K1 Modeling and simulation
K1 Simulation types and techniques
K1 Massively parallel and high-performance simulations
K1 Software and its engineering
K1 Software notations and tools
K1 Computing literacy
K1 Model curricula
SP 239
OP 246
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1122971.1123007
DO https://dl.acm.org/doi/10.1145/1122971.1123007
SF ELIB - SuUB Bremen

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