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IPPS
2007
IEEE
14 years 1 months ago
POET: Parameterized Optimizations for Empirical Tuning
The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
Qing Yi, Keith Seymour, Haihang You, Richard W. Vu...
CASCON
2006
131views Education» more  CASCON 2006»
13 years 9 months ago
STAC: software tuning panels for autonomic control
One aspect of autonomic computing is the ability to identify, separate and automatically tune parameters related to performance, security, robustness and other properties of a sof...
Elizabeth Dancy, James R. Cordy
EUROPAR
2007
Springer
14 years 1 months ago
Fine Tuning Algorithmic Skeletons
Abstract. Algorithmic skeletons correspond to a high-level programming model that takes advantage of nestable programming patterns to hide the complexity of parallel/distributed ap...
Denis Caromel, Mario Leyton
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 10 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
CLUSTER
2004
IEEE
13 years 11 months ago
Predicting memory-access cost based on data-access patterns
Improving memory performance at software level is more effective in reducing the rapidly expanding gap between processor and memory performance. Loop transformations (e.g. loop un...
Surendra Byna, Xian-He Sun, William Gropp, Rajeev ...