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A Development Environment for Scientific Parallel Programs

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Abstract

This paper describes a development environment for parallel scientific code. The environment uses Percolation Scheduling, a transformational system for parallelism extraction, and an interactive profiling system to give the user control over the parallelization process while reducing the burdensome details of architecture, correctness-preservation and synchronization. Through a graphical interface the user suggests what should be done in parallel, while the system performs the actual changes using semantics-preserving transformations. If a request cannot be satisfied, the system reports the problem causing the failure. The user may then help eliminate the problem by supplying guidance or information not explicit in the code.

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1985-12

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Cornell University

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computer science; technical report

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http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR85-722

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technical report

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