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.
Title
Data Sharing Analysis for Titanium
Published
Computer Science Division, University of California at Berkeley, Berkeley, California, November 2001
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
CSD-01-1165
Type
Text
Extent
11 p
Archive
The Engineering Library
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