Title :
Preliminary results from a parallel MATLAB compiler
Author :
Quinn, Michael J. ; Malishevsky, Alexey ; Seelam, Nagajagadeswar ; Zhao, Yan
Author_Institution :
Dept. of Comput. Sci., Oregon State Univ., Corvallis, OR, USA
fDate :
30 Mar-3 Apr 1998
Abstract :
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. 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
Keywords :
C language; distributed memory systems; mathematics computing; message passing; parallel machines; parallel programming; parallelising compilers; software libraries; C language; MATLAB script translation; MPI; Meiko CS-2; Sun Enterprise Server 4000; Sun SPARCserver; code generation; distributed memory multicomputer; message passing library; parallel MATLAB compiler; parallel architectures; parallel computers; parallelising compilers; primary memory; symmetric multiprocessor; workstation; Computer science; Concurrent computing; MATLAB; Mathematical model; Parallel processing; Program processors; Runtime library; Sun; Switches; Workstations;
Conference_Titel :
Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-8404-6
DOI :
10.1109/IPPS.1998.669894
