A Fast Verified Liveness Analysis in SSA Form

Liveness analysis is a standard compiler analysis, enabling several optimizations such as deadcode elimination. The SSA form is a popular compiler intermediate language allowing for simple and fast optimizations. Boissinot et al. [7] designed a fast liveness analysis by combining the specific proper...

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Autores principales: Léchenet, Jean-Christophe, Blazy, Sandrine, Pichardie, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324086/
http://dx.doi.org/10.1007/978-3-030-51054-1_19
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author Léchenet, Jean-Christophe
Blazy, Sandrine
Pichardie, David
author_facet Léchenet, Jean-Christophe
Blazy, Sandrine
Pichardie, David
author_sort Léchenet, Jean-Christophe
collection PubMed
description Liveness analysis is a standard compiler analysis, enabling several optimizations such as deadcode elimination. The SSA form is a popular compiler intermediate language allowing for simple and fast optimizations. Boissinot et al. [7] designed a fast liveness analysis by combining the specific properties of SSA with graph-theoretic ideas such as depth-first search and dominance. We formalize their approach in the Coq proof assistant, inside the CompCertSSA verified C compiler. We also compare experimentally this approach on CompCert’s benchmarks with respect to the classic data-flow-based liveness analysis, and observe performance gains.
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spelling pubmed-73240862020-06-30 A Fast Verified Liveness Analysis in SSA Form Léchenet, Jean-Christophe Blazy, Sandrine Pichardie, David Automated Reasoning Article Liveness analysis is a standard compiler analysis, enabling several optimizations such as deadcode elimination. The SSA form is a popular compiler intermediate language allowing for simple and fast optimizations. Boissinot et al. [7] designed a fast liveness analysis by combining the specific properties of SSA with graph-theoretic ideas such as depth-first search and dominance. We formalize their approach in the Coq proof assistant, inside the CompCertSSA verified C compiler. We also compare experimentally this approach on CompCert’s benchmarks with respect to the classic data-flow-based liveness analysis, and observe performance gains. 2020-06-06 /pmc/articles/PMC7324086/ http://dx.doi.org/10.1007/978-3-030-51054-1_19 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Léchenet, Jean-Christophe
Blazy, Sandrine
Pichardie, David
A Fast Verified Liveness Analysis in SSA Form
title A Fast Verified Liveness Analysis in SSA Form
title_full A Fast Verified Liveness Analysis in SSA Form
title_fullStr A Fast Verified Liveness Analysis in SSA Form
title_full_unstemmed A Fast Verified Liveness Analysis in SSA Form
title_short A Fast Verified Liveness Analysis in SSA Form
title_sort fast verified liveness analysis in ssa form
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324086/
http://dx.doi.org/10.1007/978-3-030-51054-1_19
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