Efficiently computing static single assignment form and the control dependence graph
ACM Transactions on Programming Languages and Systems (TOPLAS)
Data-parallel programming on MIMD computers
Data-parallel programming on MIMD computers
A MATLAB to Fortran 90 translator and its effectiveness
ICS '96 Proceedings of the 10th international conference on Supercomputing
MultiMATLAB: MATLAB on Multiple Processors
MultiMATLAB: MATLAB on Multiple Processors
A parallel linear algebra server for Matlab-like environments
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Correctly detecting intrinsic type errors in typeless languages such as MATLAB
Proceedings of the 2001 conference on APL: an arrays odyssey
A MATLAB Compiler for Distributed, Heterogeneous, Reconfigurable Computing Systems
FCCM '00 Proceedings of the 2000 IEEE Symposium on Field-Programmable Custom Computing Machines
Match Virtual Machine: An Adaptive Runtime System to Execute MATLAB in Parallel
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Proceedings of the 2nd international conference on Generative programming and component engineering
Handling context-sensitive syntactic issues in the design of a front-end for a MATLAB compiler
APL '00 Proceedings of the international conference on APL-Berlin-2000 conference
An algebraic array shape inference system for MATLAB®
ACM Transactions on Programming Languages and Systems (TOPLAS)
A translator system for the MATLAB language: Research Articles
Software—Practice & Experience
The rise and fall of High Performance Fortran: an historical object lesson
Proceedings of the third ACM SIGPLAN conference on History of programming languages
Computing array shapes in MATLAB
LCPC'01 Proceedings of the 14th international conference on Languages and compilers for parallel computing
Transparent runtime parallelization of the R scripting language
Journal of Parallel and Distributed Computing
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We are developing a compiler that translates ordinary MATLAB scripts into code suitable for compilation and execution on parallel computers supporting C and the MPI message-passing library. In this paper we report the speedup achieved for several MATLAB scripts on three diverse parallel architectures: a distributed-memory multicomputer (Meiko CS-2), a symmetric multiprocessor (Sun Enterprise Server 4000), and a cluster of symmetric multiprocessors (Sun SPARCserver 20s). By generating code suitable for execution on parallel computers, our system multiplies the gains achievable by compiling, rather than interpreting, MATLAB scripts. Generating parallel code has an additional advantage: the amount of primary memory available on most parallel computers makes it possible to solve problems too large to solve on a single workstation.