CIMEC   24726
CENTRO DE INVESTIGACION DE METODOS COMPUTACIONALES
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Use of the PGAS model for high performance computing in Beowulf Clusters
Autor/es:
D'ELÍA, JORGE; DALCIN, LISANDRO; SARRAF, SOFÍA; LOPEZ, EZEQUIEL; BATTAGLIA, LAURA; RIOS RODRIGUEZ, GUSTAVO ADOLFO; SONZOGNI, VICTORIO
Lugar:
Mendoza
Reunión:
Simposio; VI HPCLatAm2013 International Symposium; 2013
Institución organizadora:
Instituto Universitario para las Tecnologías de la Información y las Comunicaciones (ITIC), Instituto de Ciencias Básicas, Universidad Nacional de Cuyo (UNCU)
Resumen:
The Partitioned Global Address Space (PGAS) is a parallel programming model that has been developed for distributed memory computers. Furthermore, it can be used in High Performance Computing (HPC) on Beowulf clusters oriented to scientific and engineering applications through computational mechanics. As it is known, the PGAS model is the basis for, among others, some multi-paradigm programming languages such as the UPC (Unified Parallel C) and the Coarray Fortran (CAF or Fortran 2008), as well as the library Global Arrays (GA). All these resources are extensions to provide one-side communication. This work summarizes some of the activities carried out in one of the clusters available in CIMEC, as well as some ideas for a Message Passing Interface (MPI) implementation of coarrays on a fortran compiler.