Exascale Computing Trends: Adjusting to the "New Normal"' for Computer Architecture
Exascale Computing Trends: Adjusting to the "New Normal"' for Computer Architecture
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百万兆级计算趋势：适应
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
J. Shalf
中科院分区：
文献类型：
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作者：
P. Kogge;J. Shalf
现在，我们有20年的数据，涉及至少来自密度线性代数的至少一个浮点基准测试的超级计算机的性能。直到2004年左右，使用MPI模型的单个平行编程模型，批量同步，足以使转换为更复杂的应用程序合理的并行程序。然而，从2004年开始，事件的汇合永远改变了支撑MPI的建筑格局。本文的前半部分涉及这些更改的根本原因，以及它们对系统体系结构的含义。然后，下半场以我们的标准缩放模型及其对未来编程和算法设计的深刻含义来解决未来的观点。
We now have 20 years of data under our belt about the performance of supercomputers against at least a single floating-point benchmark from dense linear algebra. Until about 2004, a single model of parallel programming, bulk synchronous using the MPI model, was sufficient to permit translation into reasonable parallel programs for more complex applications. Starting in 2004, however, a confluence of events changed forever the architectural landscape that underpinned MPI. The first half of this article goes into the underlying reasons for these changes, and what they mean for system architectures. The second half then addresses the view going forward in terms of our standard scaling models and their profound implications for future programming and algorithm design.