UNSPECIFIED (2006) Performance feature identification by comparative trace analysis. In: International Conference on Computational Science (ICCS 2003), MELBOURNE, AUSTRALIA, JUN 02-04, 2003. Published in: FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS, 22 (3). pp. 369-380. doi:10.1016/j.future.2004.11.022 ISSN 0167-739X.

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Abstract

This work introduces a method for instrumenting applications. producing execution traces. and visualizing multiple trace instances to identify performance features. The approach provides information on the execution behavior of each process within a parallel application and allows differences across processes to be readily identified. Traces events are directly related to the source code and call-chain that produced them. This allows the identification of the causes of events to be easily obtained. The approach is particularly suited to aid in the Understanding of the achieved performance from an application centric viewpoint. In particular, it can be used to assist in the formation of analytical performance models which can be a time-consuming task for large complex applications. The approach is one of human-effort reduction: focus the interest of the performance specialist on performance critical code regions rather than automating the performance model formulation process completely. A supporting implementation analyses trace files front different runs of an application to determine the relative performance characteristics for critical regions of code and communication functions. (c) 2004 Elsevier B.V. All rights reserved.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Journal or Publication Title:	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS
Publisher:	ELSEVIER SCIENCE BV
ISSN:	0167-739X
Official Date:	February 2006
Dates:	Date Event February 2006 UNSPECIFIED
Volume:	22
Number:	3
Number of Pages:	12
Page Range:	pp. 369-380
DOI:	10.1016/j.future.2004.11.022
Publication Status:	Published
Title of Event:	International Conference on Computational Science (ICCS 2003)
Location of Event:	MELBOURNE, AUSTRALIA
Date(s) of Event:	JUN 02-04, 2003

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