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Formal Methods in System Design

, Volume 41, Issue 3, pp 321–347 | Cite as

Efficient data race detection for async-finish parallelism

  • Raghavan RamanEmail author
  • Jisheng Zhao
  • Vivek Sarkar
  • Martin Vechev
  • Eran Yahav
Article

Abstract

A major productivity hurdle for parallel programming is the presence of data races. Data races can lead to all kinds of harmful program behaviors, including determinism violations and corrupted memory. However, runtime overheads of current dynamic data race detectors are still prohibitively large (often incurring slowdowns of 10× or more) for use in mainstream software development.

In this paper, we present an efficient dynamic race detection algorithm that handles both the async-finish task-parallel programming model used in languages such as X10 and Habanero Java (HJ) and the spawn-sync constructs used in Cilk.

We have implemented our algorithm in a tool called TaskChecker and evaluated it on a suite of 12 benchmarks. To reduce overhead of the dynamic analysis, we have also implemented various static optimizations in the tool. Our experimental results indicate that our approach performs well in practice, incurring an average slowdown of 3.05× compared to a serial execution in the optimized case.

Keywords

Parallel programming Program analysis Data races Determinism 

Notes

Acknowledgements

We would like to thank Jacob Burnim and Koushik Sen from UC Berkeley, Jaeheon Yi and Cormac Flanagan from UC Santa Cruz, and John Mellor-Crummey from Rice University for their feedback on an earlier version of this paper. We thank Charles Leiserson for pointing out the conditional sync example. We are grateful to Jill Delsigne for her assistance with copy-editing the final version of this paper. We also thank the US-Israel Binational Foundation (BSF) for their support.

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Raghavan Raman
    • 1
    Email author
  • Jisheng Zhao
    • 1
  • Vivek Sarkar
    • 1
  • Martin Vechev
    • 2
  • Eran Yahav
    • 3
  1. 1.Rice UniversityHoustonUSA
  2. 2.UNG H 14ETH ZürichZürichSwitzerland
  3. 3.Technion–Israel Institute of TechnologyHaifaIsrael

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