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Native Data Representation: An Efficient Wire Format for High Performance Computing (2002)
| Venue: | IEEE Transactions on Parallel and Distributed Systems |
| Citations: | 16 - 7 self |
BibTeX
@ARTICLE{Eisenhauer02nativedata,
author = {Greg Eisenhauer and Fabián E. Bustamante and Karsten Schwan},
title = {Native Data Representation: An Efficient Wire Format for High Performance Computing},
journal = {IEEE Transactions on Parallel and Distributed Systems},
year = {2002},
volume = {13},
pages = {2002}
}
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Abstract
Flexible and high-performance data exchange is becoming increasingly important. This trend is due in part to the growing interest among highperformance researchers in tool- and component-based approaches to software development. In trying to reap the well-known benefits of these approaches, the question of what communications infrastructure should be used to link the various application components arises. Traditional HPC-style communication libraries such as MPI offer good performance, but are not intended for loosely-coupled systems. Object- and metadatabased approaches like XML offer the needed plug-and-play flexibility, but with significantly lower performance.
Keyphrases
efficient wire format high performance computing native data representation software development well-known benefit high-performance data exchange needed plug-and-play flexibility various application component loosely-coupled system highperformance researcher good performance traditional hpc-style communication library communication infrastructure component-based approach
