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EUROPAR
2006
Springer
14 years 2 months ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
IPPS
1999
IEEE
14 years 3 months ago
Visualization and Performance Prediction of Multithreaded Solaris Programs by Tracing Kernel Threads
Efficient performance tuning of parallel programs is often hard. We present a performance prediction and visualization tool called VPPB. Based on a monitored uni-processor executi...
Magnus Broberg, Lars Lundberg, Håkan Grahn
SC
2005
ACM
14 years 4 months ago
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
Performance prediction across platforms is increasingly important as developers can choose from a wide range of execution platforms. The main challenge remains to perform accurate...
Leo T. Yang, Xiaosong Ma, Frank Mueller
IPPS
2008
IEEE
14 years 5 months ago
Modeling and predicting application performance on parallel computers using HPC challenge benchmarks
A method is presented for modeling application performance on parallel computers in terms of the performance of microkernels from the HPC Challenge benchmarks. Specifically, the a...
Wayne Pfeiffer, Nicholas J. Wright
ICPP
2006
IEEE
14 years 4 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
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 ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar