SmartNetSolve: high-level programming system for high performance grid computing

Authors:
Thomas Brady;Eugene Konstantinov;Alexey Lastovetsky
Affiliations:
School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland;IBM Ireland, Blanchardstown, Dublin, Ireland;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland
Venue:
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Year:
2006

Citing 3
Cited 4

The network weather service: a distributed resource performance forecasting service for metacomputing

Future Generation Computer Systems - Special issue on metacomputing
A Heuristic Algorithm for Mapping Communicating Tasks on Heterogeneous Resources

HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Parallel Computing on Heterogeneous Networks

Parallel Computing on Heterogeneous Networks

Experiments with SmartGridSolve: Achieving higher performance by improving the GridRPC model

GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
ADL: An Algorithm Definition Language for SmartGridSolve

GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
Two implementations of the preconditioned conjugate gradient method on heterogeneous computing grids

International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
A non-intrusive and incremental approach to enabling direct communications in RPC-Based grid programming systems

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper presents SmartNetSolve, an extension of NetSolve, the programming system for high performance Grid computing. The extension is aimed at higher performance of Grid applications by improving the mapping of remote tasks and allowing them to communicate directly. To achieve more optimal mapping SmartNetSolve allows a group of tasks to be scheduled collectively, meanwhile NetSolve only allows for individual and independent mapping of remote tasks. SmartNetSolve also extends the communication model of the application by allowing remote tasks to communicate directly. The paper presents the overall design of the SmartNetSolve programming system with particular focus on its motivation and the underlying execution and communication models.