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Characterizing Time-Varying Program Behavior Using Phase Complexity Surfaces

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Transactions on High-Performance Embedded Architectures and Compilers IV

Part of the book series: Lecture Notes in Computer Science ((THIPEAC,volume 6760))

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Abstract

It is well known that a program exhibits time-varying execution behavior, i.e., a program typically goes through a number of phases during its execution exhibiting relatively homogeneous behavior within a phase and distinct behavior across phases. In fact, several recent research studies have been exploiting this time-varying behavior for various purposes such as simulation acceleration, code optimization, hardware adaptation for reducing energy consumption, etc.

This paper proposes phase complexity surfaces to characterize a computer program’s phase behavior across various time scales in an intuitive manner. The phase complexity surfaces incorporate metrics that characterize phase behavior in terms of the number of phases, their predictability, the degree of variability within and across phases, and the phase behavior’s dependence on the time scale granularity. Leveraging phase complexity surfaces, the paper then characterizes the phase behavior of the SPEC CPU benchmarks across multiple platforms (Alpha and IA-32) and across two CPU benchmark suite generations (CPU2000 and CPU2006).

This paper extends the paper ‘Phase Complexity Surfaces: Characterizing Time-Varying Program Behavior’ by F. Vandeputte and L. Eeckhout published at the HiPEAC conference in January 2008. This journal submission extends the conference version by presenting more results and analyses. In particular, it presents more phase complexity surface graphs; it analyzes the phase behavior in SPEC CPU2000 in more detail; it compares the phase behavior across platforms; and it compares the phase behavior across SPEC CPU2000 and CPU2006.

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Author information

Authors and Affiliations

  1. ELIS Department, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Gent, Belgium

    Frederik Vandeputte & Lieven Eeckhout

Authors
  1. Frederik Vandeputte
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  2. Lieven Eeckhout
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Chalmers University of Technology, 412 96, Gothenburg, Sweden

    Per Stenström

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Vandeputte, F., Eeckhout, L. (2011). Characterizing Time-Varying Program Behavior Using Phase Complexity Surfaces. In: Stenström, P. (eds) Transactions on High-Performance Embedded Architectures and Compilers IV. Lecture Notes in Computer Science, vol 6760. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24568-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-24568-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24567-1

  • Online ISBN: 978-3-642-24568-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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