MaJIC: A Matlab just-in-time Compiler

George Almasi, David A Padua

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes our experience with MaJIC, a just-intime compiler for MATLAB. In the recent past, several compiler projects claimed large performance improvements when processing MATLAB code. Most of these projects are static compilers suited for batch processing; MaJIC is a just-in-time compiler. The compilation process is transparent to the user. This impacts the modus operandi of the compiler, resulting in a few interesting analysis techniques. Our experiments with MaJIC indicate large speedups when compared to the interpreter, and reasonable performance when compared to static compilers.

Original languageEnglish (US)
Title of host publicationLanguages and Compilers for Parallel Computing - 13th International Workshop, LCPC 2000, Revised Papers
EditorsJeanne Ferrante, Samuel P. Midkiff, Jose E. Moreira, Manish Gupta, Siddhartha Chatterjee, Jan Prins, William Pugh, Chau-Wen Tseng
PublisherSpringer-Verlag
Pages68-81
Number of pages14
ISBN (Print)3540428623, 9783540455745
DOIs
StatePublished - Jan 1 2001
Event13th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2000 - Yorktown Heights, United States
Duration: Aug 10 2000Aug 12 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2017
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2000
CountryUnited States
CityYorktown Heights
Period8/10/008/12/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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