PACER: proportional detection of data races

  title={PACER: proportional detection of data races},
  author={Michael D. Bond and Katherine E. Coons and Kathryn S. McKinley},
Data races indicate serious concurrency bugs such as order, atomicity, and sequential consistency violations. Races are difficult to find and fix, often manifesting only after deployment. The frequency and unpredictability of these bugs will only increase as software adds parallelism to exploit multicore hardware. Unfortunately, sound and precise race detectors slow programs by factors of eight or more and do not scale to large numbers of threads. This paper presents a precise, low-overhead… CONTINUE READING
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