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ISPASS
2009
IEEE
2009
IEEE
Machine learning based online performance prediction for runtime parallelization and task scheduling
13 years 11 months ago
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
NPC
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Distributed applications running on clusters may be composed of several components with very different performance requirements. The FlowVR middleware allows the develop...
TC
2008
13 years 4 months ago
2008
As the scale of high-performance computing (HPC) continues to grow, failure resilience of parallel applications becomes crucial. In this paper, we present FT-Pro, an adaptive fault...
IPPS
1999
IEEE
13 years 9 months ago
1999
IEEE
Parallel computing is becoming increasing central and mainstream, driven both by the widespread availability of commodity SMP and high-performance cluster platforms, as well as th...
ICPP
2006
IEEE
13 years 10 months ago
2006
IEEE
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...