提高高性能计算中脂肪节点的性能

Alejandro Rico
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引用次数: 0

摘要

未来的计算系统将在处理器中集成越来越多的计算元素。这样的系统必须设计成能够有效地扩展,并提供有效的同步语义、快速数据移动和资源管理。与此同时,理解应用程序特征以确定硬件组件和接口的尺寸是至关重要的,同时在不浪费面积或功率的情况下,通过这些特性调整代码以更好地利用性能。本次演讲将涵盖多种旨在提升大型处理器性能的技术,以及围绕同步、相干性、带宽和资源管理的研究见解,这些都是在未来系统的HPC代码协同设计期间开发的。
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Scaling up performance of fat nodes for HPC
Future computing systems will integrate an increasing number of compute elements in processors. Such systems must be designed to efficiently scale up and to provide effective synchronization semantics, fast data movement and resource management. At the same time, it is paramount to understand application characteristics to dimension hardware components and interfaces, while adapting the codes to better exploit performance through those features without wasting area or power. This talk will cover multiple technologies targeted to scale up performance of large processors and research insights around synchronization, coherence, bandwidth and resource management, developed during the co-design effort with HPC codes for future systems.
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