Integration of a parallel algorithm with a cluster grid for an industrial framework

  • Authors:
  • Massimo Orazio Spata;Salvatore Rinaudo;Angelo Marotta;Francesco Moschella

  • Affiliations:
  • STMicroelectronics, Catania, Italy;STMicroelectronics, Catania, Italy;STMicroelectronics, Catania, Italy;STMicroelectronics, Catania, Italy

  • Venue:
  • SEPADS'08 Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
  • Year:
  • 2008

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Abstract

Computer simulations are becoming a fundamental instrument in order to determine the suffer effects of a specific model by varying its input parameters. However, to obtain simulation results, the needed computational power required, by increasing the model parameters, in a reasonable time, is not so indifferent. So the aim of this research is to optimize computational throughput. At ST Microelectronics, a new integrated computational solution to resolve this problem in an efficient way has been implemented and tested. This solution consist of two blocks: a parallel implementation approach, named Exemplar, and a workload balancing system into a Cluster Grid. The first block was designed on a heterogeneous hardware platform which could have different computational performances. It is based on different optimization methods: CRS (Controlled Random Search) method, and Monte Carlo method. The second block consists of a cluster of CPU servers integrated through a workload balance system and a data resource management system (DRMS).