Computer Science Colloquium
A Data-Centric Approach to Synchronization
Dr. Frank Tip
IBM Research Yorktown Heights
Friday, September 22, 2006, 2006 11:30 A.M.
Room 1302 Warren Weaver Hall
251 Mercer Street
New York, NY 10012-1185
Colloquium Information: http://cs.nyu.edu/csweb/Calendar/colloquium/index.html
Robert Grimmrgrimm@cs.nyu.edu, (212) 998-3143
Concurrency-related bugs may happen when multiple threads access shared data and interleave in ways that do not correspond to any sequential execution. Their absence is not guaranteed by the traditional notion of data race freedom.
We present a new definition of data races in terms of 11 problematic interleaving scenarios, and prove that it is complete by showing that any execution not exhibiting these scenarios is serializable for a chosen set of locations. Our definition subsumes the traditional definition of a data race as well as high-level data races such as stale-value errors and inconsistent views. We also propose a language feature called atomic sets of locations, which lets programmers specify the existence of consistency properties between fields in objects, without specifying the properties themselves. We use static analysis to automatically infer those points in the code where synchronization is needed to avoid data races under our new definition. An important benefit of this approach is that, in general, far fewer annotations are required than is the case with existing approaches such as synchronized blocks or atomic sections. Our implementation successfully inferred the appropriate synchronization for a significant subset of Java's Standard Collections framework.
Refreshments will be served
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