Abstract
This paper presents and evaluates techniques to improve the execution performance of MATLAB. Previous efforts concentrated on source to source translation and batch compilation; MaJIC provides an interactive frontend that looks like MATLAB and compiles/optimizes code behind the scenes in real time, employing a combination of just-in-time and speculative ahead-of-time compilation. Performance results show that the proper mixture of these two techniques can yield near-zero response time as well as performance gains previously achieved only by batch compilers.
| Original language | English (US) |
|---|---|
| Pages | 294-303 |
| Number of pages | 10 |
| State | Published - Jan 1 2002 |
| Event | Proceedings of the ACM SIGPLAN 2002 Conference on Programming Language Design and Implementation (PLDI'02) - Berlin, Germany Duration: Jun 17 2002 → Jun 19 2002 |
Other
| Other | Proceedings of the ACM SIGPLAN 2002 Conference on Programming Language Design and Implementation (PLDI'02) |
|---|---|
| Country | Germany |
| City | Berlin |
| Period | 6/17/02 → 6/19/02 |
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ASJC Scopus subject areas
- Software
Cite this
MaJIC : Compiling MATLAB for speed and responsiveness. / Almási, George; Padua, David A.
2002. 294-303 Paper presented at Proceedings of the ACM SIGPLAN 2002 Conference on Programming Language Design and Implementation (PLDI'02), Berlin, Germany.Research output: Contribution to conference › Paper
}
TY - CONF
T1 - MaJIC
T2 - Compiling MATLAB for speed and responsiveness
AU - Almási, George
AU - Padua, David A
PY - 2002/1/1
Y1 - 2002/1/1
N2 - This paper presents and evaluates techniques to improve the execution performance of MATLAB. Previous efforts concentrated on source to source translation and batch compilation; MaJIC provides an interactive frontend that looks like MATLAB and compiles/optimizes code behind the scenes in real time, employing a combination of just-in-time and speculative ahead-of-time compilation. Performance results show that the proper mixture of these two techniques can yield near-zero response time as well as performance gains previously achieved only by batch compilers.
AB - This paper presents and evaluates techniques to improve the execution performance of MATLAB. Previous efforts concentrated on source to source translation and batch compilation; MaJIC provides an interactive frontend that looks like MATLAB and compiles/optimizes code behind the scenes in real time, employing a combination of just-in-time and speculative ahead-of-time compilation. Performance results show that the proper mixture of these two techniques can yield near-zero response time as well as performance gains previously achieved only by batch compilers.
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AN - SCOPUS:0036039844
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