Optimization algorithms for energy-efficient data centers
Hendrik F. Hamann
InterPACK 2013
In this poster, we present our vision of refactoring support for languages with a partitioned global address space memory model as embodied in the X10 programming language. We examine a novel refactoring, extract concurrent, that introduces additional concurrency within a loop by arranging for some user-selected code in the loop body to run in parallel with other iterations of the loop. We discuss the mechanisms and challenges for implementing this refactoring and how development of this refactoring provides insight for designing future refactorings. © 2009 ACM.
Hendrik F. Hamann
InterPACK 2013
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Journal of Global Optimization
B.K. Boguraev, Mary S. Neff
HICSS 2000
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