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An Inspector/Executor Based Strategy to Efficiently Parallelize N-Body Simulation Programs on Shared Memory Systems

机译:基于检查员/执行员的策略,可在共享内存系统上有效地并行化N体仿真程序

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Reordering of data is becoming more and more significant in order to achieve a higher performance in memory data access and, particularly, in program runtime. This fact becomes specially important in parallel applications that are executed in shared memory systems. This work presents a new parallelizing, run time strategy for irregular structures associated to N-Body problem simulation algorithms. Such strategy, so-called STPCLS (Step Classification), is based on the inspector-executor paradigm. It has been tested in a shared memory system using a significant set of irregular loops. The outcomes show that the efficiency of our solution is high, and the benefits overcome the overheads imposed by our algorithm.
机译:为了在存储器数据访问中,尤其是在程序运行时中获得更高的性能,数据的重新排序变得越来越重要。在共享内存系统中执行的并行应用程序中,这一事实变得尤为重要。这项工作为与N-Body问题模拟算法相关的不规则结构提出了一种新的并行化,运行时策略。这种策略,即所谓的STPCLS(步骤分类),是基于检查者-执行者范例的。它已在共享内存系统中使用大量不规则循环进行了测试。结果表明,我们的解决方案的效率很高,并且其好处克服了算法带来的开销。

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