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A partial evaluation methodology for optimizing rewrite theories incrementally
Partial evaluation (PE) is a branch of computer science that achieves code optimization via specialization. This article describes a PE methodology for optimizing rewrite theories that encode concurrent as well as nondeterministic systems by means of the Maude language. The main advantages of the pr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400080/ https://www.ncbi.nlm.nih.gov/pubmed/36034524 http://dx.doi.org/10.1016/j.mex.2022.101802 |
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author | Alpuente, María Ballis, Demis Escobar, Santiago Galán Pascual, Daniel Sapiña, Julia |
author_facet | Alpuente, María Ballis, Demis Escobar, Santiago Galán Pascual, Daniel Sapiña, Julia |
author_sort | Alpuente, María |
collection | PubMed |
description | Partial evaluation (PE) is a branch of computer science that achieves code optimization via specialization. This article describes a PE methodology for optimizing rewrite theories that encode concurrent as well as nondeterministic systems by means of the Maude language. The main advantages of the proposed methodology can be summarized as follows: • An automatic program optimization technique for rewrite theories featuring several PE criteria that support the specialization of a broad class of rewrite theories. • An incremental partial evaluation modality that allows the key specialization components to be encapsulated at the desired granularity level to facilitate progressive refinements of the specialization. • All executability theory requirements are preserved by the PE transformation. Also the transformation ensures the semantic equivalence between the original rewrite theory and the specialized theory under rather mild conditions. |
format | Online Article Text |
id | pubmed-9400080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94000802022-08-25 A partial evaluation methodology for optimizing rewrite theories incrementally Alpuente, María Ballis, Demis Escobar, Santiago Galán Pascual, Daniel Sapiña, Julia MethodsX Method Article Partial evaluation (PE) is a branch of computer science that achieves code optimization via specialization. This article describes a PE methodology for optimizing rewrite theories that encode concurrent as well as nondeterministic systems by means of the Maude language. The main advantages of the proposed methodology can be summarized as follows: • An automatic program optimization technique for rewrite theories featuring several PE criteria that support the specialization of a broad class of rewrite theories. • An incremental partial evaluation modality that allows the key specialization components to be encapsulated at the desired granularity level to facilitate progressive refinements of the specialization. • All executability theory requirements are preserved by the PE transformation. Also the transformation ensures the semantic equivalence between the original rewrite theory and the specialized theory under rather mild conditions. Elsevier 2022-08-03 /pmc/articles/PMC9400080/ /pubmed/36034524 http://dx.doi.org/10.1016/j.mex.2022.101802 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Method Article Alpuente, María Ballis, Demis Escobar, Santiago Galán Pascual, Daniel Sapiña, Julia A partial evaluation methodology for optimizing rewrite theories incrementally |
title | A partial evaluation methodology for optimizing rewrite theories incrementally |
title_full | A partial evaluation methodology for optimizing rewrite theories incrementally |
title_fullStr | A partial evaluation methodology for optimizing rewrite theories incrementally |
title_full_unstemmed | A partial evaluation methodology for optimizing rewrite theories incrementally |
title_short | A partial evaluation methodology for optimizing rewrite theories incrementally |
title_sort | partial evaluation methodology for optimizing rewrite theories incrementally |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9400080/ https://www.ncbi.nlm.nih.gov/pubmed/36034524 http://dx.doi.org/10.1016/j.mex.2022.101802 |
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