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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
HPCN
1998
Springer
13 years 11 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
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
2000
IEEE
13 years 12 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
12 years 10 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