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引用次数: 0
摘要
X10是一种开源的命令式并发面向对象编程语言，由IBM Research开发，用于简化可伸缩并发和分布式应用程序的编程。在这次演讲中，我将报告和反思我们在千万亿次IBM Power 775超级计算机(多达55,000个Power7内核)上运行HPC应用程序内核和X10实现的图形算法的经验。我将讨论设计和实现决策，这些决策可以在保持X10生产力的同时，在规模上实现具有竞争力的性能。特别地，我将描述我们对不平衡树搜索基准(UTS)的实现，它演示了X10对不规则并行性的处理。
X10 is an open-source imperative concurrent object-oriented programming language developed by IBM Research to ease the programming of scalable concurrent and distributed applications. In this talk, I will report and reflect on our experience running HPC application kernels and graph algorithms implemented in X10 on a Petaflop IBM Power 775 supercomputer (with up to 55,000 Power7 cores). I will discuss design and implementation decisions that make it possible to achieve competitive performance at scale while retaining X10's productivity. In particular, I'll describe our implementation of the Unbalanced Tree Search benchmark (UTS), which illustrates X10's handling of irregular parallelism.
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