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ISPASS
2009
IEEE
14 years 2 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...
CCGRID
2010
IEEE
13 years 8 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
CLUSTER
2006
IEEE
14 years 1 months 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...
SC
2005
ACM
14 years 29 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
IPPS
2003
IEEE
14 years 21 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...