A Fast Middleware For Massively Parallel And Distributed Computing
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
In this paper we present the design of a fast middleware for high performance computing on distributed systems. The proposed model allows us to build a polymorphic grid computing assigned to solve fine grained parallel problems over different well known, SIMD (Single Instruction Multiple Data), SPMD (Single Program Multiple Data), MIMD (Multiple Instruction Multiple Data) ) and MPMD (Multiple Program Multiple Data) machine structures. This model is built using dynamic distributed Virtual Processors Elements (VPE). Each physical processing unit is assigned to a node of the considered distributed system. These units may be heterogeneous machines such supercomputers, simple desktop or smart phones etc. The VPEs are designed to communicate with each other by exchanging, in local or remote ports, messages containing data, instructions or any task to be performed. The life cycle of VPEs, the load balancing system and the parallel application to be run, are managed by the VPE Manager which represent the virtual host of this model. At runtime VPEs can migrate from overloaded to under loaded nodes in order to keep the system in a perfect balancing state. The parallel application based in this middleware can be implemented in different languages. In this paper, we present the java implementation. To valid the performance of this Middleware, the paper presents two examples of parallel filtering and segmentation c-means algorithms, using program code and flow sheet.
Authors and Affiliations
Youssfi Mohamed, Bouattane Omar, Benchara Fatéma Zahra, Bensalah Mohammed Ouadi
Keywords
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