Our project is concerned with the automatic parallelization of Mercury programs. Mercury is a purely-declarative logic programming language, this makes it easy to determine whether a set of computations may be performed in parallel with one-anther. However, the problem of how to determine which computations should be executed in parallel in order to make the program perform optimally is unsolved. Therefore, our work concentrates on building a profiler-feedback automatic parallelization system for Mercury that creates programs with very good parallel performance with as little help from the programmer as possible.
@InProceedings{bone:LIPIcs.ICLP.2011.251, author = {Bone, Paul}, title = {{Automatic Parallelism in Mercury}}, booktitle = {Technical Communications of the 27th International Conference on Logic Programming (ICLP'11)}, pages = {251--254}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-31-6}, ISSN = {1868-8969}, year = {2011}, volume = {11}, editor = {Gallagher, John P. and Gelfond, Michael}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICLP.2011.251}, URN = {urn:nbn:de:0030-drops-31828}, doi = {10.4230/LIPIcs.ICLP.2011.251}, annote = {Keywords: Program Optimization, Automatic Parallelism, Mercury} }
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