Term Rewriting on GPUs.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

We present a way to implement term rewriting on a GPU. We do this by letting the GPU repeatedly perform a massively parallel evaluation of all subterms. We find that if the term rewrite systems exhibit sufficient internal parallelism, GPU rewriting substantially outperforms the CPU. Since we expect that our implementation can be further optimized, and because in any case GPUs will become much more powerful in the future, this suggests that GPUs are an interesting platform for term rewriting. As term rewriting can be viewed as a universal programming language, this also opens a route towards programming GPUs by term rewriting, especially for irregular computations.

Originele taal-2Engels
TitelFundamentals of Software Engineering - 9th International Conference, FSEN 2021, Revised Selected Papers
RedacteurenHossein Hojjat, Mieke Massink
Pagina's175-189
Aantal pagina's15
DOI's
StatusGepubliceerd - 2021

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12818 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Bibliografische nota

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Vingerafdruk

Duik in de onderzoeksthema's van 'Term Rewriting on GPUs.'. Samen vormen ze een unieke vingerafdruk.

Citeer dit