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JSSPP
2005
Springer
14 years 1 months ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan
ISPAN
2005
IEEE
14 years 1 months ago
Using Predictive Adaptive Parallelism to Address Portability and Irregularity
A semi-dynamic system is presented that is capable of predicting the performance of parallel programs at runtime. The functionality given by the system allows for efficient handl...
David Wangerin, Isaac D. Scherson
IPPS
1998
IEEE
13 years 11 months ago
Performance Prediction in Production Environments
Accurate performance predictions are difficult to achieve for parallel applications executing on production distributed systems. Conventional point-valued performance parameters a...
Jennifer M. Schopf, Francine Berman
IPPS
2005
IEEE
14 years 1 months ago
Practical Performance Model for Optimizing Dynamic Load Balancing of Adaptive Applications
Optimizing the performance of dynamic load balancing toolkits and applications requires the adjustment of several runtime parameters; however, determining sufficiently good value...
Kevin Barker, Nikos Chrisochoides
EUROPAR
2005
Springer
14 years 1 months ago
An Approach to Performance Prediction for Parallel Applications
Abstract. Accurately modeling and predicting performance for largescale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive mo...
Engin Ipek, Bronis R. de Supinski, Martin Schulz, ...