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Causal Dataflow Analysis for Concurrent Programs

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Title: Causal Dataflow Analysis for Concurrent Programs
Author(s): Farzan, Azadeh; Madhusudan, P.
Subject(s): dataflow analysis computer science
Abstract: We define a novel formulation of dataflow analysis for concurrent programs, where the flow of facts is along the causal dependencies of events. We capture the control flow of concurrent programs using a Petri net (called the control net), develop algorithms based on partially-ordered unfoldings, and report experimental results for solving causal dataflow analysis problems. For the subclass of distributive problems, we prove that complexity of checking data flow is linear in the number of facts and in the unfolding of the control net.
Issue Date: 2007-01
Genre: Technical Report
Type: Text
URI: http://hdl.handle.net/2142/11347
Other Identifier(s): UIUCDCS-R-2007-2806
Rights Information: You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS: 2009-04-22
 

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