Parallel programs share data in ways that may not be obvious at the source level. Understanding a program's data sharing behavior is critical to understanding the program as a whole, and is also a necessary component for numerous program analysis, optimization, and run time clients. We report on the design of and experience with an implementation of a data sharing analysis for the Titanium programming language.
Data Sharing Analysis for Titanium
Computer Science Division, University of California at Berkeley, Berkeley, California, November 2001
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
The Engineering Library
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