Scaling up parallel scientific applications on the IBM SP

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Description

This document provides a technical description of the IBM SP seaborg.nersc.gov with an emphasis on how the system performs as a production environment for large scale scientific applications. The overall goal is to provide developers with the information they need to write and run such applications. While some of the information presented here may be applicable in a larger context, the focus is on experiences and scaling techniques specific to seaborg.nersc.gov. In the first few sections we seek to determine how well the theoretical capabilities of this machine may be realized in practice. Most of the measured performance numbers come ... continued below

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39 pages

Creation Information

Skinner, David January 8, 2004.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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Description

This document provides a technical description of the IBM SP seaborg.nersc.gov with an emphasis on how the system performs as a production environment for large scale scientific applications. The overall goal is to provide developers with the information they need to write and run such applications. While some of the information presented here may be applicable in a larger context, the focus is on experiences and scaling techniques specific to seaborg.nersc.gov. In the first few sections we seek to determine how well the theoretical capabilities of this machine may be realized in practice. Most of the measured performance numbers come from small code microkernels or test codes rather than from real user codes. In a companion document several real applications are explored in detail. The microkernel approach described above has value to the user since the most widely quoted performance numbers often reflect the theoretical (peak) performance values rather than those realized in practice. Likewise anecdotes from full blown applications often involve mixed algorithms, hidden constraints or other specifics which make the results hard to generalize. Microkernels and test codes provide a middle ground which is a reasonable best case scenario for real user codes and provide the user with a small kernel of code can serve as a template for the writing or modification of more substantial codes.

Physical Description

39 pages

Notes

OSTI as DE00826107

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  • Other Information: PBD: 8 Jan 2004

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  • Report No.: LBNL--54254
  • Grant Number: AC03-76SF00098
  • DOI: 10.2172/826107 | External Link
  • Office of Scientific & Technical Information Report Number: 826107
  • Archival Resource Key: ark:/67531/metadc782892

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  • January 8, 2004

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • April 4, 2016, 3:39 p.m.

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Skinner, David. Scaling up parallel scientific applications on the IBM SP, report, January 8, 2004; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc782892/: accessed August 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.