Lecture Notes in Computer Science

Compositionality, Fairness and Probability in Parallelism

By: Josyula R. Rao

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Paperback | 6 April 1995

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196 Pages

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This monograph extends and generalizes the UNITY methodology, introduced in the late 1980s by K. Mani Chandy and Jayadev Misra as a formalism aiding in the specification and verification of parallel programs, in several directions.
This treatise further develops the ideas behind UNITY in order to explore and understand the potential and limitations of this approach: first UNITY is applied to formulate and tackle problems in parallelism such as compositionality; second, the logic and notation of UNITY is generalized in order to increase its range of applicability; finally, paradigms and abstractions useful for the design of probabilistic parallel algorithms are developed. Taken together the results presented reaffirm the promise of UNITY as a versatile medium for treating many problems of parallelism.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Programming & Software Development Software Engineering Programming & Scripting Languages Computer Science Computer Architecture & Logic Design Parallel Processing Systems Analysis & Design Mathematics Probability & Statistics Compilers & Interpreters

Mathematical Theory of Computation Computer Hardware

Prologue	p. 3
Preliminaries	p. 11
An Introduction to UNITY	p. 17
The Role of Commutativity in Parallel Program Design	p. 33
On the Design of Proof Rules for Fair Parallel Programs	p. 59
Reasoning About Probabilistic Parallel Programs	p. 99
Eventual Determinism: Using Probabilistic Means to Achieve Deterministic Ends	p. 149
Epilogue	p. 165
Bibliography	p. 169
Index	p. 175
Table of Contents provided by Blackwell. All Rights Reserved.

Lecture Notes in Computer Science

Compositionality, Fairness and Probability in Parallelism

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