Distributed data structure design for scientific computation
ICS '98 Proceedings of the 12th international conference on Supercomputing
A parallel linear algebra server for Matlab-like environments
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
MultiMATLAB: integrating MATLAB with high-performance parallel computing
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
Menhir: An Environment for High Performance Matlab
LCR '98 Selected Papers from the 4th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computers
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
Results from a Parallel MATLAB Compiler
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Journal of Parallel and Distributed Computing
Programming for parallelism and locality with hierarchically tiled arrays
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Menhir: An environment for high performance Matlab
Scientific Programming
MATLAB®: a language for parallel computing
International Journal of Parallel Programming
Performance of message-passing MATLAB toolboxes
VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
Hierarchically tiled arrays for parallelism and locality
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
| Hi-index | 0.00 |
MATLAB, a commercial product of The MathWorks, Inc., has become one of the principal languages of desktop scientific computing. A system is described that enables one to run MATLAB conveniently on multiple processors. Using short, MATLAB-style commands like Eval, Send, Recv, Bcast, Min, and Sum, the user operating within one MATLAB session can start MATLAB processes on other machines and then pass commands and data between between these various processes in a fashion that maintains MATLAB''s traditional user-friendliness. Multi-processor graphics is also supported. The system currently runs under MPICH on an IBM SP2 or a network of Unix workstations, and extensions are planned to networks of PCs. MultiMATLAB is potentially useful for education in parallel programming, for prototyping parallel algorithms, and for fast and convenient execution of easily parallelizable numerical computations on multiple processors.