Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology
ICS '97 Proceedings of the 11th international conference on Supercomputing
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Future Generation Computer Systems - Special issue on metacomputing
Automatically tuned collective communications
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Prediction and adaptation in Active Harmony
Cluster Computing
Toward a Framework for Preparing and Executing Adaptive Grid Programs
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Real-Time Performance Monitoring, Adaptive Control, and Interactive Steering of Computational Grids
International Journal of High Performance Computing Applications
| Hi-index | 0.00 |
This study presents a technique that can significantly improve the performance of a distributedapplication by allowing the application to locally adapt to architectural characteristics of distinct resources in a distributed system. Application performance is sensitive to system architecture - application parameter pairings. In a distributed or Grid enabled application, a single parameter configuration for the whole application will not always be optimal for every participating resource. In particular, some configurations can significantly degrade performance. Furthermore, the behavior of a system may change during the course of the run. The technique described here provides an automated mechanism for run-time adaptation of application parameters to the local system architecture. Using a scaled-down simulation of a Monte Carlo physics code, we demonstrate that this technique can conservatively achieve speedups up to 65% on individual resources and may even provide order of magnitude speedup in the extreme case.