Doing IO with MPI and Benchmarking It with SKaMPI-5

Joachim Mathes, Argirios Perogiannakis and Thomas Worsch ()
Additional contact information
Joachim Mathes: Universität Karlsruhe, IAKS
Argirios Perogiannakis: Universität Karlsruhe, IAKS
Thomas Worsch: Universität Karlsruhe, IAKS

A chapter in High Performance Computing in Science and Engineering '08, 2009, pp 599-613 from Springer

Abstract: Summary SKaMPI-5 is a micro-benchmark for MPI implementations, designed to be easily extensible. Besides a “global” parallel file system at least some parallel machines offer (many) hard disks which are local to (processors or) computing nodes. While the MPI2 standard includes functions for doing disk IO, MPI is unable to use this resource because by (our) definition the local disks are not visible to remote processors/nodes. But it is possible to write thin layers of code which allow this kind of access. If used with many hard disks, theoretically very high disk IO bandwidths are possible. In the present paper we have a closer look at one such approach, and give an overview of the extension of SKaMPI-5 for the evaluation of this. We also present a few selected results of benchmark runs for MPI-IO, giving an impression of what is possible with the MPI-IO measurements available in SKaMPI-5. In addition we point out several problems one is facing.

Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-88303-6_41

Ordering information: This item can be ordered from
http://www.springer.com/9783540883036

DOI: 10.1007/978-3-540-88303-6_41

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().