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Exploiting spatiotemporal locality for fast call stack traversal

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Perks, O. F. J., Bird, Robert F., Beckingsale, David A. and Jarvis, Stephen A. (2012) Exploiting spatiotemporal locality for fast call stack traversal. In: Second Workshop on High-performance Infrastructure for Scalable Tools (WHIST 2012), Venice, Italy, 29 June 2012. Published in: 26th International Conference on Supercomputing

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Abstract

In the approach to exascale, scalable tools are becoming increasingly necessary to support parallel applications. Evaluating an application’s call stack is a vital technique for a wide variety of profilers and debuggers, and can create a significant performance overhead. In this paper we present a heuristic technique to reduce the overhead of frequent call stack evaluations. We use this technique to estimate the similarity between successive call stacks, removing the need for full call stack traversal and eliminating a significant portion of the performance overhead. We demonstrate this technique applied to a parallel memory tracing toolkit, WMTools, and analyse the performance gains and accuracy.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH): Parallel processing (Electronic computers), Supercomputers, High performance computing
Journal or Publication Title: 26th International Conference on Supercomputing
Official Date: June 2012
Dates:
DateEvent
June 2012Available
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 28 July 2016
Date of first compliant Open Access: 28 July 2016
Conference Paper Type: Paper
Title of Event: Second Workshop on High-performance Infrastructure for Scalable Tools (WHIST 2012)
Type of Event: Workshop
Location of Event: Venice, Italy
Date(s) of Event: 29 June 2012
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