Implementing openMP for clusters on top of MPI

Authors:
Antonio J. Dorta;José M. Badía;Enrique S. Quintana;Francisco de Sande
Affiliations:
Depto. de Estadística, Investigación Operativa y Computación, Universidad de La Laguna, La Laguna, Spain;Depto. de Ingeniería y Ciencia de Computadores, Universidad Jaume I, Castellón, Spain;Depto. de Ingeniería y Ciencia de Computadores, Universidad Jaume I, Castellón, Spain;Depto. de Estadística, Investigación Operativa y Computación, Universidad de La Laguna, La Laguna, Spain
Venue:
PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Year:
2005

Citing 5
Cited 4

A high-performance, portable implementation of the MPI message passing interface standard

Parallel Computing
OpenMP for networks of SMPs

Journal of Parallel and Distributed Computing
The OpenMP Source Code Repository

PDP '05 Proceedings of the 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing
Cluster-enabled OpenMP: An OpenMP compiler for the SCASH software distributed shared memory system

Scientific Programming
Supporting realistic OpenMP applications on a commodity cluster of workstations

WOMPAT'03 Proceedings of the OpenMP applications and tools 2003 international conference on OpenMP shared memory parallel programming

Basic skeletons in 11c

Parallel Computing - Algorithmic skeletons
Toward the parallelization of GSL

The Journal of Supercomputing
Optimization strategies in different CUDA architectures using llCoMP

Microprocessors & Microsystems
Parallelizing dense linear algebra operations with task queues in llc

PVM/MPI'07 Proceedings of the 14th European conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface

Quantified Score

Hi-index	0.00

Visualization

Abstract

llc is a language designed to extend OpenMP to distributed memory systems. Work in progress on the implementation of a compiler that translates llc code and targets distributed memory platforms is presented. Our approach generates code for communications directly on top of MPI. We present computational results for two different benchmark applications on a PC-cluster platform. The results reflect similar performances for the llc compiled version and an ad-hoc MPI implementation, even for applications with fine-grain parallelism.