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JSA
2000
115views more  JSA 2000»
15 years 6 months ago
Scheduling optimization through iterative refinement
Scheduling DAGs with communication times is the theoretical basis for achieving efficient parallelism on distributed memory systems. We generalize Graham's task-level in a ma...
Mayez A. Al-Mouhamed, Adel Al-Massarani
CGF
1998
73views more  CGF 1998»
15 years 6 months ago
Using Wavefront Tracing for the Visualization and Optimization of Progressive Lenses
Progressive addition lenses are a relatively new approach to compensate for defects of the human visual system. While traditional spectacles use rotationally symmetric lenses, pro...
Joachim Loos, Philipp Slusallek, Hans-Peter Seidel
OOPSLA
2010
Springer
15 years 5 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
STOC
2001
ACM
123views Algorithms» more  STOC 2001»
16 years 7 months ago
On optimal slicing of parallel programs
Optimal program slicing determines for a statement S in a program whether or not S affects a specified set of statements, given that all conditionals in are interpreted as non-d...
Markus Müller-Olm, Helmut Seidl
POPL
2010
ACM
16 years 1 months ago
Compress-and-conquer for optimal multicore computing
We propose a programming paradigm called compress-and-conquer (CC) that leads to optimal performance on multicore platforms. Given a multicore system of p cores and a problem of s...
Zhijing G. Mou, Hai Liu, Paul Hudak