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181
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ISPASS
2009
IEEE
16 years 1 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...
196
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CCGRID
2010
IEEE
15 years 7 months ago
Region-Based Prefetch Techniques for Software Distributed Shared Memory Systems
Although shared memory programming models show good programmability compared to message passing programming models, their implementation by page-based software distributed shared m...
Jie Cai, Peter E. Strazdins, Alistair P. Rendell
158
Voted
CLUSTER
2006
IEEE
16 years 25 days ago
A Performance Prediction Methodology for Data-dependent Parallel Applications
The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both determi...
Paula Cecilia Fritzsche, Concepció Roig, An...
190
Voted
SC
2005
ACM
16 years 10 days ago
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
Leo T. Yang, Xiaosong Ma, Frank Mueller
171
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IPPS
2003
IEEE
16 years 1 days ago
An Executable Analytical Performance Evaluation Approach for Early Performance Prediction
Percolation has recently been proposed as a key component of an advanced program execution model for future generation high-end machines featuring adaptive data/code transformatio...
Adeline Jacquet, Vincent Janot, Clement Leung, Gua...