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ISPASS
2009
IEEE
14 years 4 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
IPPS
2003
IEEE
14 years 2 months ago
GCA: A Massively Parallel Model
We had introduced the massively parallel global cellular automata (GCA) model. Parallel algorithms derived from applications can be mapped straight forward onto this model. In thi...
Rolf Hoffmann, Klaus-Peter Völkmann, Wolfgang...
ICS
2001
Tsinghua U.
14 years 1 months ago
Global optimization techniques for automatic parallelization of hybrid applications
This paper presents a novel technique to perform global optimization of communication and preprocessing calls in the presence of array accesses with arbitrary subscripts. Our sche...
Dhruva R. Chakrabarti, Prithviraj Banerjee
CF
2010
ACM
14 years 2 months ago
Variant-based competitive parallel execution of sequential programs
Competitive parallel execution (CPE) is a simple yet attractive technique to improve the performance of sequential programs on multi-core and multi-processor systems. A sequential...
Oliver Trachsel, Thomas R. Gross
CCO
2001
Springer
161views Combinatorics» more  CCO 2001»
14 years 1 months ago
Branch, Cut, and Price: Sequential and Parallel
Branch, cut, and price (BCP) is an LP-based branch and bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts and variables can be generat...
Laszlo Ladányi, Ted K. Ralphs, Leslie E. Tr...