Title :
Enhancements to MatlabMPI: Easier Compilation, Collective Communication, and Profiling
Author :
Gardiner, Judy ; Nehrbass, John ; Chaves, Juan Carlos ; Guilfoos, Brian ; Ahalt, Stanley ; Krishnamurthy, Ashok ; Unpingco, Jose ; Chalker, Alan ; Samsi, Siddharth
Author_Institution :
Ohio Supercomput. Center, Columbus, OH
Abstract :
This paper provides a brief overview of several enhancements made to the MatlabMPI suite. MatlabMPI is a pure MATLAB code implementation of the core parts of the MPI specifications. The enhancements provide a more attractive option for HPCMP users to design parallel MATLAB code. Intelligent compiler configuration tools have also been delivered to further isolate MatlabMPI users from the complexities of the UNIX environments on the various HPCMP systems. Users are now able to install and use MatlabMPI with less difficulty, greater flexibility, and increased portability. Collective communication functions were added to MatlabMPI to expand functionality beyond the core implementation. Profiling capabilities, producing TAU (tuning and analysis utility) trace files, are now offered to support parallel code optimization. All of these enhancements have been tested and documented on a variety of HPCMP systems. All material, including commented example code to demonstrate the usefulness of MatlabMPI, is available by contacting the authors
Keywords :
application program interfaces; mathematics computing; message passing; parallel programming; program compilers; High Performance Computing Modernization Program; MatlabMPI; analysis utility; collective communication; intelligent compiler configuration tools; parallel code optimization; tuning utility; Computer languages; Computer science; High performance computing; MATLAB; Productivity; Prototypes; Software tools; Supercomputers; System testing; Workstations;
Conference_Titel :
HPCMP Users Group Conference, 2006
Conference_Location :
Denver, CO
Print_ISBN :
0-7695-2797-3
DOI :
10.1109/HPCMP-UGC.2006.24