Techniques for the translation of MATLAB programs into Fortran 90
ACM Transactions on Programming Languages and Systems (TOPLAS)
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
Proceedings of the 2011 ACM international conference on Object oriented programming systems languages and applications
StreamX10: a stream programming framework on X10
Proceedings of the 2012 ACM SIGPLAN X10 Workshop
McSAF: a static analysis framework for MATLAB
ECOOP'12 Proceedings of the 26th European conference on Object-Oriented Programming
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
Hi-index | 0.00 |
Matlab is a popular dynamic array-based language commonly used by students, scientists and engineers, who appreciate the interactive development style, the rich set of array operators, the extensive builtin library, and the fact that they do not have to declare static types. Even though these users like to program in Matlab, their computations are often very compute-intensive and are potentially very good applications for high-performance languages such as X10. To provide a bridge between Matlab and X10, we are developing MiX10, a source-to-source compiler that translates Matlab to X10. This paper provides an overview of the initial design of the MiX10 compiler, presents a template-based specialization approach to compiling the builtin Matlab operators, and provides translation rules for the key sequential Matlab constructs with a focus on those which are challenging to convert to semantically-equivalent X10. An initial core compiler has been implemented, and preliminary results are provided.