Thesis (Ph. D.)--Florida State University, 2003. / Advisor: Dr. Ladislav J. Kohout, Florida State University, College of Arts and Sciences, Department of Computer Science. Title and description from dissertation home page (viewed Oct. 2, 2003). Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2003. / Vita. Includes bibliographical references. Available also from UMI Company.

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The key to performance improvements in the multicore era is for software toutilize the newly available concurrency. Consequently, programmers will have tolearn new programming techniques, and software systems will have to be able tomanage the parallelism effectively. The challenge is to do so simply, portably,and efficiently.This dissertation presents a lightweight programming framework called Gossamerthat is easy to use, enables the solution of a broad range of parallelprogramming problems, and produces efficient code. Gossamer supports task andrecursive parallelism, iterative parallelism, domain decomposition, pipelinedcomputations, and MapReduce computations. Gossamer contains (1) a set ofhigh-level annotations that one adds to a sequential program to specifyconcurrency and synchronization, (2) a source-to-source translator that producesan optimized program, and (3) a run-time system that provides efficient threadsand synchronization. The annotation-based programming model simplifies writingparallel programs by allowing the programmer to concentrate on the applicationand not the extensive bookkeeping involved with concurrency and synchronization;moreover, the annotations never reference any particulars of the underlyinghardware.

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