The Scalasca performance toolset architecture

Scalasca is a performance toolset that has been specifically designed to analyze parallel application execution behavior on large‐scale systems with many thousands of processors. It offers an incremental performance‐analysis procedure that integrates runtime summaries with in‐depth studies of concur...

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Bibliographic Details
Published in:Concurrency and computation 2010-04, Vol.22 (6), p.702-719
Main Authors: Geimer, Markus, Wolf, Felix, Wylie, Brian J. N., Ábrahám, Erika, Becker, Daniel, Mohr, Bernd
Format: Article
Language:English
Subjects:
Architecture
C (programming language)
Computation
Concurrency
Design engineering
parallel computing
performance analysis
Processors
scalability
Strategy
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Summary:Scalasca is a performance toolset that has been specifically designed to analyze parallel application execution behavior on large‐scale systems with many thousands of processors. It offers an incremental performance‐analysis procedure that integrates runtime summaries with in‐depth studies of concurrent behavior via event tracing, adopting a strategy of successively refined measurement configurations. Distinctive features are its ability to identify wait states in applications with very large numbers of processes and to combine these with efficiently summarized local measurements. In this article, we review the current toolset architecture, emphasizing its scalable design and the role of the different components in transforming raw measurement data into knowledge of application execution behavior. The scalability and effectiveness of Scalasca are then surveyed from experience measuring and analyzing real‐world applications on a range of computer systems. Copyright © 2010 John Wiley & Sons, Ltd.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.1556