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Dual Core Efficiency for Engineering Simulation Applications

Andreas de Blanche (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Nima Namaki (Institutionen för data- och informationsteknik (Chalmers)) ; Stefan Mankefors-christiernin ; Johan Gustafsson ; Michael Lingbrand
International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas, NV, USA, 14-17 July 2008 p. 888-894. (2008)
[Konferensbidrag, refereegranskat]

With the event of multi-core processors the parallel execution of simulation applications has resulted in new problems and possibilities in resource usage in high performance computing (HPC). In this paper we have investigated the impact of execution of engineering applications utilizing one and two cores in an Intel Core 2 Duo based Linux cluster. In engineering industry the number of licenses puts practical and economical constraints on the maximum number of processes. Consequently the issue of how to distribute a given number of processes over the compute nodes in a HPC resource becomes very important. When distributing the application over multiple nodes we found that having N processes on N computer nodes, only using one core on each node, is significantly faster than running N processes on N cores in N/2 computer nodes. Only in one case out of 32 it was beneficial to use both cores. The “one compute node – one simulation process” approach gave an average cost efficiency increase of 16.5%, and for several sub-cases it is actually costbeneficial to run on more nodes than fewer, which decreases the overall run time.

Nyckelord: dual-core, computational fluid dynamics, efficiency, scalability, cluster

Denna post skapades 2016-03-17. Senast ändrad 2016-04-07.
CPL Pubid: 233375