Scalably verifiable dynamic power management

Opeoluwa Matthews, Meng Zhang, Daniel J. Sorin
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引用次数: 9

Abstract

Dynamic power management (DPM) is critical to maximizing the performance of systems ranging from multicore processors to datacenters. However, one formidable challenge with DPM schemes is verifying that the DPM schemes are correct as the number of computational resources scales up. In this paper, we develop a DPM scheme such that it is scalably verifiable with fully automated formal tools. The key to the design is that the DPM scheme has fractal behavior; that is, it behaves the same at every scale. We show that the fractal design enables scalable formal verification and simulation shows that our scheme does not sacrifice much performance compared to an oracle DPM scheme that optimally allocates power to computational resources. We implement our scheme in a 2-socket 16-core x86 system and experimentally evaluate it.
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可扩展可验证的动态电源管理
动态电源管理(DPM)对于最大限度地提高从多核处理器到数据中心等系统的性能至关重要。然而,DPM方案面临的一个巨大挑战是,随着计算资源数量的增加,验证DPM方案是否正确。在本文中,我们开发了一个DPM方案,使得它可以用全自动形式化工具进行可扩展验证。设计的关键在于DPM方案具有分形特性;也就是说,它在每个尺度上的行为都是一样的。我们证明了分形设计能够实现可扩展的形式化验证,并且仿真表明,与oracle DPM方案相比,我们的方案不会牺牲太多性能,该方案可以最佳地分配计算资源的功率。我们在一个2套接字的16核x86系统上实现了该方案,并对其进行了实验评估。
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