A case for source-level transformations in MATLAB

Authors:
Vijay Menon;Keshav Pingali
Affiliations:
Department of Computer Science, Cornell University, Ithaca, NY;Department of Computer Science, Cornell University, Ithaca, NY
Venue:
Proceedings of the 2nd conference on Domain-specific languages
Year:
1999

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Abstract

In this paper, we discuss various performance overheads in MATLAB codes and propose different program transformation strategies to overcome them. In particular, we demonstrate that high-level source-to-source transformations of MATLAB programs are effective in obtaining substantial performance gains regardless of whether programs are interpreted or later compiled into C or FORTRAN. We argue that automating such transformations provides a promising area of future research.