Abstract
In this paper, we describe the inference mechanism used by the FALCON system to translate MATLAB programs to Fortran 90. FALCON is a programming environment for the development of scientific libraries and applications. The objective of the MATLAB compiler is to allow program development to take place in a user-friendly, interactive environment without sacrificing performance. FALCON's inference mechanism combines static and dynamic inference methods for intrinsic type, rank, and shape inference, and is supported by a sophisticated symbolic value propagation algorithm. Experimental results show that FALCON's MATLAB compiler can generate code that is over 1000 times faster than MATLAB on a uniprocessor SGI Power Challenge, and is often as fast as handwritten Fortran programs.
| Original language | English (US) |
|---|---|
| Pages | 309-316 |
| Number of pages | 8 |
| State | Published - Jan 1 1996 |
| Event | Proceedings of the 1996 International Conference on Supercomputing - Philadelphia, PA, USA Duration: May 25 1996 → May 28 1996 |
Other
| Other | Proceedings of the 1996 International Conference on Supercomputing |
|---|---|
| City | Philadelphia, PA, USA |
| Period | 5/25/96 → 5/28/96 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
Cite this
MATLAB to Fortran 90 translator and its effectiveness. / De Rose, Luiz; Padua, David.
1996. 309-316 Paper presented at Proceedings of the 1996 International Conference on Supercomputing, Philadelphia, PA, USA, .Research output: Contribution to conference › Paper
}
TY - CONF
T1 - MATLAB to Fortran 90 translator and its effectiveness
AU - De Rose, Luiz
AU - Padua, David
PY - 1996/1/1
Y1 - 1996/1/1
N2 - In this paper, we describe the inference mechanism used by the FALCON system to translate MATLAB programs to Fortran 90. FALCON is a programming environment for the development of scientific libraries and applications. The objective of the MATLAB compiler is to allow program development to take place in a user-friendly, interactive environment without sacrificing performance. FALCON's inference mechanism combines static and dynamic inference methods for intrinsic type, rank, and shape inference, and is supported by a sophisticated symbolic value propagation algorithm. Experimental results show that FALCON's MATLAB compiler can generate code that is over 1000 times faster than MATLAB on a uniprocessor SGI Power Challenge, and is often as fast as handwritten Fortran programs.
AB - In this paper, we describe the inference mechanism used by the FALCON system to translate MATLAB programs to Fortran 90. FALCON is a programming environment for the development of scientific libraries and applications. The objective of the MATLAB compiler is to allow program development to take place in a user-friendly, interactive environment without sacrificing performance. FALCON's inference mechanism combines static and dynamic inference methods for intrinsic type, rank, and shape inference, and is supported by a sophisticated symbolic value propagation algorithm. Experimental results show that FALCON's MATLAB compiler can generate code that is over 1000 times faster than MATLAB on a uniprocessor SGI Power Challenge, and is often as fast as handwritten Fortran programs.
UR - http://www.scopus.com/inward/record.url?scp=0029702005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029702005&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0029702005
SP - 309
EP - 316
ER -