Generating optimal code using answer set programming

T Crick; M Brain; M De Vos; J Fitch

doi:10.1007/978-3-642-04238-6_57

Generating optimal code using answer set programming

T Crick, M Brain, M De Vos, J Fitch

Research output: Chapter or section in a book/report/conference proceeding › Chapter or section

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Abstract

This paper presents the Total Optimisation using Answer Set Technology (TOAST) system, which can be used to generate optimal code sequences for machine architectures via if technique known as superoptimisation. Answer set programming (ASP) is utilised as the modelling and computational framework for searching over the large. complex search spaces and for proving the functional equivalence of two code sequences. Experimental results are given showing the progress made in solver performance over the previous few years, along with an Outline Of future developments to the system and applications within compiler toolchanis.

Original language	English
Title of host publication	Logic Programming and Nonmonotonic Reasoning
Editors	E Erdem, L Fangzhen, T Schaub
Place of Publication	Berlin, Germany
Publisher	Springer
Pages	554-559
Number of pages	6
Volume	5753
ISBN (Print)	978-3-642-04237-9
DOIs	https://doi.org/10.1007/978-3-642-04238-6_57
Publication status	Published - 2009
Event	10th International Conference on Logic Programming and Nonmonotonic Reasoning - Potsdam, Germany Duration: 14 Sep 2009 → 18 Sep 2009

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer

Conference

Conference	10th International Conference on Logic Programming and Nonmonotonic Reasoning
Abbreviated title	LPNMR (2009)
Country/Territory	Germany
City	Potsdam
Period	14/09/09 → 18/09/09

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10.1007/978-3-642-04238-6_57

Cite this

Crick, T, Brain, M, De Vos, M & Fitch, J 2009, Generating optimal code using answer set programming. in E Erdem, L Fangzhen & T Schaub (eds), Logic Programming and Nonmonotonic Reasoning. vol. 5753, Lecture Notes in Computer Science, Springer, Berlin, Germany, pp. 554-559, 10th International Conference on Logic Programming and Nonmonotonic Reasoning, Potsdam, Germany, 14/09/09. https://doi.org/10.1007/978-3-642-04238-6_57

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abstract = "This paper presents the Total Optimisation using Answer Set Technology (TOAST) system, which can be used to generate optimal code sequences for machine architectures via if technique known as superoptimisation. Answer set programming (ASP) is utilised as the modelling and computational framework for searching over the large. complex search spaces and for proving the functional equivalence of two code sequences. Experimental results are given showing the progress made in solver performance over the previous few years, along with an Outline Of future developments to the system and applications within compiler toolchanis.",

author = "T Crick and M Brain and {De Vos}, M and J Fitch",

year = "2009",

doi = "10.1007/978-3-642-04238-6_57",

language = "English",

isbn = "978-3-642-04237-9",

volume = "5753",

series = "Lecture Notes in Computer Science",

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pages = "554--559",

editor = "E Erdem and L Fangzhen and T Schaub",

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note = "10th International Conference on Logic Programming and Nonmonotonic Reasoning, LPNMR (2009) ; Conference date: 14-09-2009 Through 18-09-2009",

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T1 - Generating optimal code using answer set programming

AU - Crick, T

AU - Brain, M

AU - De Vos, M

AU - Fitch, J

PY - 2009

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AB - This paper presents the Total Optimisation using Answer Set Technology (TOAST) system, which can be used to generate optimal code sequences for machine architectures via if technique known as superoptimisation. Answer set programming (ASP) is utilised as the modelling and computational framework for searching over the large. complex search spaces and for proving the functional equivalence of two code sequences. Experimental results are given showing the progress made in solver performance over the previous few years, along with an Outline Of future developments to the system and applications within compiler toolchanis.

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M3 - Chapter or section

SN - 978-3-642-04237-9

VL - 5753

T3 - Lecture Notes in Computer Science

SP - 554

EP - 559

BT - Logic Programming and Nonmonotonic Reasoning

A2 - Erdem, E

A2 - Fangzhen, L

A2 - Schaub, T

PB - Springer

CY - Berlin, Germany

T2 - 10th International Conference on Logic Programming and Nonmonotonic Reasoning

Y2 - 14 September 2009 through 18 September 2009

ER -

Generating optimal code using answer set programming

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