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HPCC
2007
Springer
14 years 1 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 10 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
14 years 16 days 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 1 months 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 9 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