Abstract
Writing a parallel program can be a difficult task which has to meet several, sometimes conflicting goals. While the manual approach is time-consuming and error-prone, the use of compilers reduces the programmer’s control and often does not lead to an optimal result. With our approach, PolyAPM, the programming process is structured as a series of source-to-source transformations. Each intermediate result is a program for an Abstract Parallel Machine (APM) on which it can be executed to evaluate the transformation. We propose a decision tree of programs and corresponding APMs that help to explore alternative design decisions. Our approach stratifies the effects of individual, self-contained transformations and enables their evaluation during the parallelisation process.
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Ellmenreich, N., Lengauer, C. (2003). PolyAPM: Parallel Programming via Stepwise Refinement with Abstract Parallel Machines. In: Peña, R., Arts, T. (eds) Implementation of Functional Languages. IFL 2002. Lecture Notes in Computer Science, vol 2670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44854-3_8
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DOI: https://doi.org/10.1007/3-540-44854-3_8
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