Introducing the Graph 500

Introducing the Graph 500
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发表时间:
2010-05
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通讯作者:
J. Ang;Brian W. Barrett;Kyle B. Wheeler;R. Murphy
J. Ang;Brian W. Barrett;Kyle B. Wheeler;R. Murphy
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其他
文献类型:
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作者:
J. Ang;Brian W. Barrett;Kyle B. Wheeler;R. Murphy

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用开尔文勋爵(Lord Kelvin)的话来说,“如果你不能衡量它,你就无法改进它”。Top 500列表的持久成功之一是持续的、社区范围的浮点性能改进。新兴的大数据问题,无论是由测量的现实世界现象引起的,还是由模拟生成的数据的进一步处理,都具有截然不同的性能特征和体系结构需求。当社区考虑扩展到大规模HPC资源来解决这些问题时,我们面临的现实挑战是,超级计算机通常是为物理的3D模拟而优化的,而不是大规模的、数据驱动的分析。因此,考虑这种分析的社区需要一个新的标准来评估未来的平台。自从冯·诺依曼架构发明以来,物理模拟在很大程度上推动了高性能计算的发展和演变。这使得科学家和工程师可以测试假设、设计,并提出“如果”的问题。新兴的信息学和分析应用在目的和结构上都是不同的。物理模拟通常是核心内存大小的、浮点密集型的、结构良好的,而信息学应用程序往往是非核心的、面向整数的、非结构化的。(可以说,物理模拟正朝着这个方向发展。)图抽象是com中一个功能强大的模型
In the words of Lord Kelvin, “if you cannot measure it, you cannot improve it”. One of the longlasting successes of the Top 500 list is sustained, community-wide floating point performance improvement. Emerging large-data problems, either resulting from measured real-world phenomena or as further processing of data generated by simulation, have radically different performance characteristics and architectural requirements. As the community contemplates scaling to large-scale HPC resources to solve these problems, we are challenged by the reality that supercomputers are typically optimized for the 3D simulation of physics, not large-scale, data-driven analysis. Consequently, the community contemplating this kind of analysis requires a new yard stick for evaluating future platforms. Since the invention of the von Neumann architecture, the physics simulation has largely driven the development and evolution of High Performance Computing. This allows scientists and engineers to test hypotheses, designs, and ask “what if” questions. Emerging informatics and analytics applications are different both in purpose and structure. While physics simulations typically are core-memory sized, floating point intensive, and well-structured, informatics applications tend to be out of core, integer oriented, and unstructured. (It could be argued that physics simulations are moving in this direction.) The graph abstraction is a powerful model in com-