Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11946441_58 | ISPA |
Keywords | Field | DocType |
detailed experimental analysis,redistribution module,flexible parallel data redistribution,data redistribution module,parallel data redistribution component,different interconnection network,tgrid component,data redistribution,data structure,parallel data representation,parallel data redistribution,programming model,experimental analysis,scientific computing,data representation,distributed environment | Data structure,Computer science,Parallel algorithm,Parallel computing,Distributed memory,Subnet,Multiprocessing,Grid,Runtime system,Scalability,Distributed computing | Conference |
Volume | ISSN | ISBN |
4330 | 0302-9743 | 3-540-68067-5 |
Citations | PageRank | References |
1 | 0.37 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sascha Hunold | 1 | 121 | 20.11 |
| Thomas Rauber | 2 | 415 | 64.60 |
| Gudula Rünger | 3 | 608 | 90.35 |