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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...
ISPAN
1999
IEEE
13 years 11 months ago
Using Stochastic Intervals to Predict Application Behavior on Contended Resources
Current distributed parallel platforms can provide the resources required to execute a scientific application efficiently. However, when these platforms are shared by multiple use...
Jennifer M. Schopf, Francine Berman
WSC
1997
13 years 8 months ago
Execution-Driven Simulators for Parallel Systems Design
Evaluating, analyzing and predicting the performance of a parallel system is challenging due to the complex inter-play between the application characteristics and architectural fe...
Anand Sivasubramaniam
JCSS
2008
81views more  JCSS 2008»
13 years 7 months ago
A simulator for adaptive parallel applications
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch
CLUSTER
2003
IEEE
14 years 25 days ago
Run-Time Prediction of Parallel Applications on Shared Environments
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Byoung-Dai Lee, Jennifer M. Schopf