Data Sharing Analysis for Titanium

This research was conducted by Ben Liblit, Alex Aiken, and Katherine Yelick.

Abstract

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.

Full Paper

The full paper is available in various formats. A suggested BibTeX citation record is also available.

See also Type Systems for Distributed Data Sharing for more information on the fundamental design issues underlying sharing analysis for parallel programs.