Research And Application Of MPI And OpenMP Hybrid Programming Model Based On SMP Clusters

Shared memory architectures are gradually becoming more prominent in the HPC market, as advances in technology have allowed larger numbers of CPUs to have access to a single memory space. In addition, manufacturers are increasingly clustering these SMP systems together to go beyond the limits of a single system. Of the top 10 supercomputers listed in the Top500, most (if not all) are clusters of SMPs.As clustered SMPs become more prominent, it becomes more important for applications to be portable and efficient on these systems. For this pressing problem, the paper doing some research as follows:1. Detailedly described the hybrid MPI+OpenMP programming model suited for SMP cluster. It is close to the architecture of SMP cluster, combining the advantage of message passing and shared memory, could gain more efficient performance behavior. Based on this, the paper focus on the implement of the hybrid programming model, the choice of parallel grain size and loops, control of the thread number , optimize measures and its benefit relative to the MPI model. At last, it concludes that the hybrid programming model is the best choice of SMP cluster program under some conditions.2. Performance evaluation and modeling are crucial steps to enabling the optimization of parallel programs. Hybrid programming model, such as MPI+OpenMP, requires analysis to determine both performance efficiency and the most suitable numbers of processes and threads for their execution on a given platform. To study both of these problems, we propose the construction of a model that is based upon a small number of parameters, but is able to capture the complexity of the runtime system. We have combined two different techniques that includes static analysis, driven by the OpenUH compiler, to retrieve application signatures and a parallelization overhead measurement benchmark, realized by Sphinx and Perfsuite, to collect system profiles. Finally, we propose a performance evaluation measurement to identify communication and computation efficiency. We describe our underlying framework, the performance model, and show how our tool can be applied to a sample code.3. Detailedly described the process of design Hybrid parallel program and the method of experimental analysis by a idiographic example. The results reveal the reasonable of the research work. The appearance of Multi-Core architecture greatly speeds up the development of SMP Cluster. Multi-Core CPU could be treated as a simple SMP. Naturally instead of the Single-Core CPUs, embedded the Multi-Core CPUs into the SMPs will make the more complicated Multi-Core SMP Clusters. The rising complex architecture has already turned into the most cost-effective solution for in spite of the large scale scientific research applications and the server of for enterprise. This paper views the program model and optimization of the Multi-Core SMP Cluster.