2003Unpublished venueRequires access

A framework for automatic parallelization of sequential programs

W. Ambrus

Open publisher page 3 citations

Abstract

With the dropping prices of multiprocessor desktop computers and high-performance clusters these systems are more and more available to the average user. Thus there is a growing need for applications that take advantage of multiprocessor systems. Automatic parallelization allows preexisting sequential programs to utilize multiple processors. Automatic parallelization requires thorough analysis of the sequential program. In this paper multiprocessor systems, and challenges of automatic parallelization are briefly covered. Also, a framework for developing and running automatic parallelization algorithms is introduced.

About this research paper

What this paper is about

With the dropping prices of multiprocessor desktop computers and high-performance clusters these systems are more and more available to the average user. Thus there is a growing need for applications that take advantage of multiprocessor systems. Automatic parallelization allows preexisting sequential programs to utilize multiple processors. Automatic parallelization requires thorough analysis of the sequential program. In this paper multiprocessor systems, and challenges of automatic parallelization are briefly covered. Also, a framework for developing and running automatic parallelization algorithms is introduced.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

With the dropping prices of multiprocessor desktop computers and high-performance clusters these systems are more and more available to the average user. Thus there is a growing need for applications that take advantage of multiprocessor systems. Automatic parallelization allows preexisting sequential programs to utilize multiple processors. Automatic parallelization requires thorough analysis of the sequential program. In this paper multiprocessor systems, and challenges of automatic parallelization are briefly covered. Also, a framework for developing and running automatic parallelization algorithms is introduced.

Key concepts: Automatic parallelization, Multiprocessing, Computer science, Parallel computing, Symmetric multiprocessor system, Programming language, Compiler

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