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Memory access profiling tools for alpha-based architectures

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Applied Parallel Computing Large Scale Scientific and Industrial Problems (PARA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1541))

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Abstract

The development of efficient algorithms on today’s high performance computers is far from straight-forward. Applications need to take full advantage of the deep memory hierarchy which implies that the user has to know exactly how his/her implementation gets executed. With today’s compilers it can be very difficult to understand or predict the execution path without having to look at the machine code. We present a set of tools designed to help us better understand programs and their memory access pattern. These tools enable the programmer to compare memory access patterns of different algorithms as well as provide insight into the algorithm’s behavior e.g. potential bottlenecks resulting from memory accesses.

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References

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Authors and Affiliations

  1. Compaq Computer Corporation, 01754, Maynard, MA, USA

    Susanne M. Balle & Simon C. Steely Jr.

Authors
  1. Susanne M. Balle
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  2. Simon C. Steely Jr.
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Editor information

Bo Kågström Jack Dongarra Erik Elmroth Jerzy Waśniewski

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© 1998 Springer-Verlag Berlin Heidelberg

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Balle, S.M., Steely, S.C. (1998). Memory access profiling tools for alpha-based architectures. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095315

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  • DOI: https://doi.org/10.1007/BFb0095315

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65414-8

  • Online ISBN: 978-3-540-49261-0

  • eBook Packages: Springer Book Archive

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