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Harnessing Performance Variability: A HPC-Oriented Application Scenario

机译:利用性能差异:面向HPC的应用方案

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The technology scaling towards the 10nm of the silicon manufacturing, is going to introduce variability challenges, mainly due to the growing susceptibility to thermal hot-spots and time-dependent variations (aging) in the silicon chip. The consequences are two-fold: a) unpredictable performance, b) unreliable computing resources. The goal of the HARPA project is to enable next-generation embedded and high-performance heterogeneous many-core processors to effectively address this issues, through a cross-layer approach, involving several component of the system stack. Each component acts at different levels and time granularity. This paper focus on one of the components of the HARPA stack, the HARPA-OS, showing early results of a first integration step of the HARPA approach in a real High-Performance Computing (HPC) application scenario.
机译:朝着硅制造的10nm方向扩展的技术将带来可变性挑战,这主要是由于硅芯片对热热点的敏感性不断提高以及与时间有关的变化(时效)。结果是两方面的:a)不可预测的性能,b)不可靠的计算资源。 HARPA项目的目标是通过涉及系统堆栈多个组件的跨层方法,使下一代嵌入式和高性能异构多核处理器能够有效解决此问题。每个组件以不同的级别和时间粒度起作用。本文重点介绍HARPA堆栈的一个组件HARPA-OS,它显示了在实际的高性能计算(HPC)应用场景中HARPA方法的第一个集成步骤的早期结果。

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