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» Complexity and Performance in Parallel Programming Languages
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ISPASS
2009
IEEE
14 years 3 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...
SC
2000
ACM
14 years 1 months ago
Performance of Hybrid Message-Passing and Shared-Memory Parallelism for Discrete Element Modeling
The current trend in HPC hardware is towards clusters of shared-memory (SMP) compute nodes. For applications developers the major question is how best to program these SMP cluster...
D. S. Henty
ICS
2009
Tsinghua U.
14 years 3 months ago
QuakeTM: parallelizing a complex sequential application using transactional memory
“Is transactional memory useful?” is the question that cannot be answered until we provide substantial applications that can evaluate its capabilities. While existing TM appli...
Vladimir Gajinov, Ferad Zyulkyarov, Osman S. Unsal...
ICS
2007
Tsinghua U.
14 years 2 months ago
Sensitivity analysis for automatic parallelization on multi-cores
Sensitivity Analysis (SA) is a novel compiler technique that complements, and integrates with, static automatic parallelization analysis for the cases when relevant program behavi...
Silvius Rus, Maikel Pennings, Lawrence Rauchwerger
IPPS
2005
IEEE
14 years 2 months ago
A Case Study on Pattern-Based Systems for High Performance Computational Biology
Computational biology research is now faced with the burgeoning number of genome data. The rigorous postprocessing of this data requires an increased role for high performance com...
Weiguo Liu, Bertil Schmidt