Eraser: A Dynamic Data Race Detector for Multithreaded Programs

Stefan Savage, Michael Burrows, Greg Nelson, Patrick Sobalvarro, and Thomas Anderson.  Eraser: A Dynamic Data Race Detector for Multithreaded Programs.  ACM Transactions on Computer Systems, vol. 15, no. 4, November 1997, pages 391 - 411. Also appeared in Proc. Sixteenth ACM Symposium on Operating Systems Principles (SOSP), October 1997.


Multithreaded programming is difficult and error prone. It is easy to make a mistake in synchronization that produces a data race, yet it can be extremely hard to locate this mistake during debugging. This article describes a new tool, called Eraser, for dynamically detecting data races in lock-based multithreaded programs. Eraser uses binary rewriting techniques to monitor every shared-memory reference and verify that consistent locking behavior is observed. We present several case studies, including undergraduate coursework and a multithreaded Web search engine, that demonstrate the effectiveness of this approach.