research-article

McLab: an extensible compiler toolkit for MATLAB and related languages

Authors:

Andrew Casey,

Jun Li,

Jesse Doherty,

Maxime Chevalier-Boisvert,

Olivier Savary Belanger,

Laurie Hendren, and

Clark VerbruggeAuthors Info & Claims

C3S2E '10: Proceedings of the Third C* Conference on Computer Science and Software Engineering

May 2010

Pages 114 - 117

https://doi.org/10.1145/1822327.1822343

Published: 19 May 2010 Publication History

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Abstract

Matlab is a popular language for scientific computation. Effectively compiling Matlab presents many challenges due to the dynamic nature of the language. We present McLab, an extensible compiler toolkit for the Matlab and related languages. McLab aims to provide high performance execution of Matlab on modern architectures while bringing modern programming concepts such as aspect-oriented programming and other extensions to Matlab. McLab consists of several components. The first component is an extensible frontend to parse and analyze Matlab as well as extensions to Matlab. The second component, called McFor, is a compiler to translate a static subset of Matlab to FORTRAN. The third component, McVM, is a virtual machine including a JIT compiler to execute Matlab code. Finally we also provide language extensions such as AspectMatlab. We present the current state of the implementation of McLab and describe ongoing work and future directions of the project.

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T. Aslam. AspectMatlab: An aspect-oriented scientific programming language. Master's thesis, McGill University, 2010.

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A. Casey. The MetaLexer lexical specification language. Master's thesis, McGill University, September 2009.

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M. Chevalier-Boisvert. McVM: An optimizing virtual machine for the MATLAB programming language. Master's thesis, McGill University, August 2009.

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M. Chevalier-Boisvert, L. Hendren, and C. Verbrugge. Optimizing MATLAB through just-in-time specialization. In International Conference on Compiler Construction, March 2010. To Appear.

Digital Library

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Cited By

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Reis LBispo JCardoso J(2020)Compilation of MATLAB computations to CPU/GPU via C/OpenCL generationConcurrency and Computation: Practice and Experience10.1002/cpe.585432:22Online publication date: Jun-2020
https://doi.org/10.1002/cpe.5854
Stojanov ARompf TPüschel MSchaefer IReichenbach CStorm T(2019)A stage-polymorphic IR for compiling MATLAB-style dynamic tensor expressionsProceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences10.1145/3357765.3359514(34-47)Online publication date: 21-Oct-2019
https://dl.acm.org/doi/10.1145/3357765.3359514
Danford FWelch ECárdenas-Ródriguez JStrout M(2017)Analyzing Parallel Programming Models for Magnetic Resonance ImagingLanguages and Compilers for Parallel Computing10.1007/978-3-319-52709-3_15(188-202)Online publication date: 24-Jan-2017
https://doi.org/10.1007/978-3-319-52709-3_15
Show More Cited By

Index Terms

McLab: an extensible compiler toolkit for MATLAB and related languages
1. Mathematics of computing
  1. Mathematical software
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types

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Information & Contributors

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Published In

C3S2E '10: Proceedings of the Third C* Conference on Computer Science and Software Engineering

May 2010

156 pages

ISBN:9781605589015

DOI:10.1145/1822327

General Chair:
Bipin C. Desai
Concordia University, Montréal, QC, Canada
,
Program Chairs:
Carson K. Leung
The University of Manitoba, Winnipeg, MB, Canada
,
Sudhir P. Mudur
Concordia University, Montréal, QC, Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2010

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C3S2E '10

Sponsor:

ACM
Concordia University

C3S2E '10: C* Conference on Computer Science & Software Engineering

May 19 - 20, 2010

Quebec, Montréal, Canada

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Overall Acceptance Rate 12 of 42 submissions, 29%

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Reis LBispo JCardoso J(2020)Compilation of MATLAB computations to CPU/GPU via C/OpenCL generationConcurrency and Computation: Practice and Experience10.1002/cpe.585432:22Online publication date: Jun-2020
https://doi.org/10.1002/cpe.5854
Stojanov ARompf TPüschel MSchaefer IReichenbach CStorm T(2019)A stage-polymorphic IR for compiling MATLAB-style dynamic tensor expressionsProceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences10.1145/3357765.3359514(34-47)Online publication date: 21-Oct-2019
https://dl.acm.org/doi/10.1145/3357765.3359514
Danford FWelch ECárdenas-Ródriguez JStrout M(2017)Analyzing Parallel Programming Models for Magnetic Resonance ImagingLanguages and Compilers for Parallel Computing10.1007/978-3-319-52709-3_15(188-202)Online publication date: 24-Jan-2017
https://doi.org/10.1007/978-3-319-52709-3_15
Bispo JCardoso J(2017)A MATLAB subset to C compiler targeting embedded systemsSoftware—Practice & Experience10.1002/spe.240847:2(249-272)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1002/spe.2408
Foley-Bourgon VHendren L(2016)Efficiently implementing the copy semantics of MATLAB's arrays in JavaScriptACM SIGPLAN Notices10.1145/3093334.298923552:2(72-83)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1145/3093334.2989235
Foley-Bourgon VHendren LIerusalimschy R(2016)Efficiently implementing the copy semantics of MATLAB's arrays in JavaScriptProceedings of the 12th Symposium on Dynamic Languages10.1145/2989225.2989235(72-83)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1145/2989225.2989235
Garg RJagdale SHendren LHendren LMasuhara HSheeran MVitek J(2015)Velociraptor: a compiler toolkit for array-based languages targeting CPUs and GPUsProceedings of the 2nd ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming10.1145/2774959.2774967(19-24)Online publication date: 13-Jun-2015
https://dl.acm.org/doi/10.1145/2774959.2774967
Bispo JReis LCardoso JHendren LMasuhara HSheeran MVitek J(2015)Techniques for efficient MATLAB-to-C compilationProceedings of the 2nd ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming10.1145/2774959.2774961(7-12)Online publication date: 13-Jun-2015
https://dl.acm.org/doi/10.1145/2774959.2774961
Fabry JDinkelaker TNoyé JTanter É(2015)A Taxonomy of Domain-Specific Aspect LanguagesACM Computing Surveys10.1145/268502847:3(1-44)Online publication date: 17-Feb-2015
https://dl.acm.org/doi/10.1145/2685028
Hück AWillkomm JBischof C(2015)Source Transformation for the Optimized Utilization of the Matlab Runtime System for Automatic DifferentiationRecent Trends in Computational Engineering - CE201410.1007/978-3-319-22997-3_7(115-131)Online publication date: 2015
https://doi.org/10.1007/978-3-319-22997-3_7
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