Efficient Coupling of Parallel Applications Using PAWS
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Multilevel hierarchical matrix multiplication on clusters
Proceedings of the 18th annual international conference on Supercomputing
Data Redistribution and Remote Method Invocation in Parallel Component Architectures
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
High Performance Communication between Parallel Programs
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 4 - Volume 05
M-Task-Programming for Heterogeneous Systems and Grid Environments
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 4 - Volume 05
Tlib-a library to support programming with hierarchical multi-processor tasks
Journal of Parallel and Distributed Computing
International Journal of High Performance Computing Applications
Enabling efficient and flexible coupling of parallel scientific applications
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Hi-index | 0.00 |
Data redistribution of parallel data representations has become an important factor of grid frameworks for scientific computing. Providing the developers with generalized interfaces for flexible parallel data redistribution is a major goal of this research. In this article we present the architecture and the implementation of the redistribution module of TGrid. TGrid is a grid-enabled runtime system for applications consisting of cooperating multiprocessor tasks (M-tasks). The data redistribution module enables TGrid components to transfer data structures to other components which may be located on the same local subnet or may be executed remotely. We show how the parallel data redistribution is designed to be flexible, extendible, scalable, and particularly easy-to-use. The article includes a detailed experimental analysis of the redistribution module by providing a comparison of throughputs which were measured for a large range of processors and for different interconnection networks.