Abstract
We present a matrix language compiler CMC which translates annotated MATLAB scripts into Fortran 90 programs. Distinguishing features of CMC include its applicability to programs with sparse matrix computations and its capability of source-level optimization in MATLAB language. Different from other existing similar translators, CMC has an ability to generate codes based on information on the shape of matrices such as triangular and diagonal. Integrating these functionalities, CMC provides the user with a simple way to develop fast large-scale numerical computation codes beyond prototyping. Experimental results show that the programs of SOR and CG methods generated by CMC can run several times as fast as the original MATLAB scripts.
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References
Aho, A.V., Sethi, R., Ullman, J.D.: Compilers — Principles, Techniques, and Tools. Addison Wesley, Reading (1986)
Almasi, G., Padua, D.: MaJIC: Compiling MATLAB for Speed and Responsiveness. In: Proc. PLDI 2002, pp. 294–303 (2002)
Barrett, R., et al.: Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. SIAM, Philadelphia (1994)
Bik, A.J.C., Wijshoff, H.A.G.: Compilation Techniques for Sparse Matrix Computations. In: Proc. ICS 1993, pp. 416–424 (1993)
Bik, A.J.C., et al.: The Automatic Generation of Sparse Primitives. ACM Trans. Math. Softw. 24(2), 190–225 (1998)
Chang, R.-G., Chuang, T.-R., Lee, J.K.: Compiler Optimizations for Parallel Sparse Programs with Array Intrinsics of Fortran 90. In: Proc. Intl. Conf. Parallel Processing, pp. 103–110 (1999)
Chang, R.-G., Chuang, T.-R., Lee, J.K.: Efficient Support of Parallel Sparse Computation for Array Intrinsic Functions of Fortran 90. In: Proc. ICS 1998, pp. 45–52 (1998)
De Rose, L., Padua, D.: Techniques for the translation of MATLAB programs into Fortran 90. ACM Trans. Programming Languages and Systems 21(2), 286–323 (1999)
Doornik, J.A.: Ox: Object-Oriented Matrix Language, 4th edn. Timberlake Consultants Press (2001)
Duff, I.S., et al.: Level 3 Basic Linear Algebra Subprograms for Sparse Matrices: A User-Level Interface. ACM Trans. Math. Softw. 23(3), 379–401 (1997)
Fitzpatrick, S., Clint, M., Kilpatrick, P.: The Automated Derivation of Sparse Implementations of Numerical Algorithms through Program Transformation, Tech. Rep. 1995/Apr-SF.MC.PLK, Dept. Comput. Sci. The Queen’s University of Belfast (1995)
Gilbert, J.R., Moler, C., Schreiber, R.: Sparse Matrices in MATLAB: Design and Implementation. SIAM J. Matrix Anal. Appl. 13(1), 333–356 (1992)
Kawabata, H., Suzuki, M.: CMC: A Compiler for Sparse Matrix Computations (in Japanese). IPSJ Trans. Advanced Computing Systems (to appear)
Koga, M.: MaTX User’s Manual, http://www.matx.org/
The MathWorks, Inc. homepage, www.mathworks.com
The MathWorks, Inc.: MATLAB Compiler Version 3 User’s Guide (2002)
Menon, V., Pingali, K.: A Case for Source-Level Transformations in MATLAB. In: Proc. DSL 1999, pp. 53–65 (1999)
Ramaswamy, S., et al.: Compiling MATLAB Programs to ScaLAPACK: Exploiting Task and Data Parallelism. In: Proc. IPPS 1996, pp. 613–619 (1996)
Quinn, M.J., Malishevsky, A., Seelam, N.: Otter: Bridging the Gap between MATLAB and ScaLAPACK. In: Proc. 8th IEEE Intl. Symp. High Performance Distributed Computing (1998)
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Kawabata, H., Suzuki, M., Kitamura, T. (2004). A MATLAB-Based Code Generator for Sparse Matrix Computations. In: Chin, WN. (eds) Programming Languages and Systems. APLAS 2004. Lecture Notes in Computer Science, vol 3302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30477-7_19
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DOI: https://doi.org/10.1007/978-3-540-30477-7_19
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