Leveraging multicore cluster nodes by adding OpenMP to flow solvers parallelized with MPI

Authors:
Christian Iwainsky;Samuel Sarholz;Dieter an Mey;Ralph Altenfeld
Affiliations:
Center for Computing and Communication, JARA, RWTH Aachen University, Aachen, Germany;Center for Computing and Communication, JARA, RWTH Aachen University, Aachen, Germany;Center for Computing and Communication, JARA, RWTH Aachen University, Aachen, Germany;Center for Computing and Communication, JARA, RWTH Aachen University, Aachen, Germany
Venue:
HPCS'09 Proceedings of the 23rd international conference on High Performance Computing Systems and Applications
Year:
2009

Citing 2
Cited 0

Simulation of Primary Breakup for Diesel Spray with Phase Transition

Proceedings of the 16th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Automatic scoping of variables in parallel regions of an OpenMP program

WOMPAT'04 Proceedings of the 5th international conference on OpenMP Applications and Tools: shared Memory Parallel Programming with OpenMP

Quantified Score

Hi-index	0.00

Visualization

Abstract

MPI is the predominant model for parallel programming in technical high performance computing. With an increasing number of cores and threads in cluster nodes the question arises whether pure MPI is an appropriate approach to utilize today’s compute clusters or if it is profitable to add another layer of parallelism within the nodes by applying OpenMP on a lower level. Investing a limited amount of manpower, we add OpenMP directives to three MPI production codes and compare and analyze the performance varying the number of MPI processes per node and the number of OpenMP threads per MPI process on current CMP/CMT architectures.