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ISPAN
1999
IEEE
15 years 7 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
HPCN
1998
Springer
15 years 7 months ago
Application Execution Steering using On-the-Fly Performance Prediction
The execution of an application on a high performance system requires parameters concerning the problem in hand, and those that determine the system mapping, to be specified by a ...
Darren J. Kerbyson, Efstathios Papaefstathiou, Gra...
IPPS
1998
IEEE
15 years 7 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
2000
IEEE
15 years 7 months ago
Performance of On-Chip Multiprocessors for Vision Tasks
Abstract. Computer vision is a challenging data intensive application. Currently, superscalar architectures dominate the processor marketplace. As more transistors become available...
Yongwha Chung, K. Park, W. Hahn, Neungsoo Park, Vi...
PPOPP
2011
ACM
14 years 6 months ago
ScalaExtrap: trace-based communication extrapolation for spmd programs
Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
Xing Wu, Frank Mueller