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Title: Routing performance analysis and optimization within a massively parallel computer

Abstract

An apparatus, program product and method optimize the operation of a massively parallel computer system by, in part, receiving actual performance data concerning an application executed by the plurality of interconnected nodes, and analyzing the actual performance data to identify an actual performance pattern. A desired performance pattern may be determined for the application, and an algorithm may be selected from among a plurality of algorithms stored within a memory, the algorithm being configured to achieve the desired performance pattern based on the actual performance data.

Inventors:
; ; ;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1083442
Patent Number(s):
8423987
Application Number:
11/668,691
Assignee:
International Business Machines Corporation (Armonk, NY)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
DOE Contract Number:  
B519700
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Archer, Charles Jens, Peters, Amanda, Pinnow, Kurt Walter, and Swartz, Brent Allen. Routing performance analysis and optimization within a massively parallel computer. United States: N. p., 2013. Web.
Archer, Charles Jens, Peters, Amanda, Pinnow, Kurt Walter, & Swartz, Brent Allen. Routing performance analysis and optimization within a massively parallel computer. United States.
Archer, Charles Jens, Peters, Amanda, Pinnow, Kurt Walter, and Swartz, Brent Allen. Tue . "Routing performance analysis and optimization within a massively parallel computer". United States. https://www.osti.gov/servlets/purl/1083442.
@article{osti_1083442,
title = {Routing performance analysis and optimization within a massively parallel computer},
author = {Archer, Charles Jens and Peters, Amanda and Pinnow, Kurt Walter and Swartz, Brent Allen},
abstractNote = {An apparatus, program product and method optimize the operation of a massively parallel computer system by, in part, receiving actual performance data concerning an application executed by the plurality of interconnected nodes, and analyzing the actual performance data to identify an actual performance pattern. A desired performance pattern may be determined for the application, and an algorithm may be selected from among a plurality of algorithms stored within a memory, the algorithm being configured to achieve the desired performance pattern based on the actual performance data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {4}
}

Works referenced in this record:

Automated cluster-based web service performance tuning
conference, January 2004


An empirically derived framework for classifying parallel program performance tuning problems
conference, January 1998


The Autopilot performance-directed adaptive control system
journal, September 2001