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HPCC
2007
Springer
13 years 11 months ago
Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid
Abstract. Automatic execution time prediction of the Grid applications plays a critical role in making the pervasive Grid more reliable and predictable. However, automatic executio...
Farrukh Nadeem, Radu Prodan, Thomas Fahringer
ESCIENCE
2006
IEEE
13 years 9 months ago
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set
Application execution time prediction is of key importance in making decisions about efficient usage of Grid resources. Grid services lack support of a generic application executi...
Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prod...
GRID
2005
Springer
13 years 11 months ago
ASKALON: a Grid application development and computing environment
— We present the ASKALON environment whose goal is to simplify the development and execution of workflow applications on the Grid. ASKALON is centered around a set of high-level...
Thomas Fahringer, Radu Prodan, Rubing Duan, France...
ICS
2009
Tsinghua U.
14 years 5 days ago
Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs
Iterative stencil loops (ISLs) are used in many applications and tiling is a well-known technique to localize their computation. When ISLs are tiled across a parallel architecture...
Jiayuan Meng, Kevin Skadron
CCGRID
2008
IEEE
13 years 7 months ago
Performance Optimization for Multi-agent Based Simulation in Grid Environments
Multi-agent based simulation (MABS) is a discrete event simulation technique used to study complex systems with entities having social and autonomous behavior. MABS applications a...
Dawit Mengistu, Peter Tröger