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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >The Case for Cross-Component Power Coordination on Power Bounded Systems
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The Case for Cross-Component Power Coordination on Power Bounded Systems

机译：电源有界系统交叉组件电源协调的情况

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摘要

Modern computer systems are increasingly bounded by the available or permissible power at multiple layers from components to systems. To cope with this reality, it is necessary to understand how power bounds impact the design and performance of emergent computer systems. Prior work mainly focuses on power capping and budgeting on individual components without coordinating them to achieve the best possible performance. In this article, we study the problem of power bounded computing and power allocation across computer components on CPU and GPU-accelerated systems. We investigate the dynamics between cross-component power allocation and generalize the performance impacts, and propose lightweight heuristics to maximize performance. We draw multiple insights: (1) for a given application and power bound, there exists a maximum achievable performance which requires coordinated power allocation among components for balanced computation and memory access; (2) the max performance increases with the total power bound but only in a definite range specific to applications; (3) the dynamics of power allocations has categorical patterns with regard to performance trends and actual power use; and (4) the categorical patterns can be leveraged to design coordinated power allocations. These findings suggest the promises of cross-component coordination in forthcoming power bounded high performance computing.
机译：现代计算机系统越来越受到从组件到系统的多个层的可用或允许功率的限制。为了应对这一现实，有必要了解电源限制如何影响紧急计算机系统的设计和性能。事先工作主要关注各个组件的电源封盖和预算，而无需协调它们以达到最佳性能。在本文中，我们研究了CPU和GPU加速系统上的计算机组件跨电源有限计算和功率分配问题。我们调查交叉组件功率分配与概括性影响之间的动态，并提出了轻量级启发式，以最大限度地提高性能。我们绘制多个见解：（1）对于给定的应用程序和功率绑定，存在最大的可实现性能，需要为平衡计算和存储器访问组件之间的协调功率分配; （2）最大性能随着总功率绑定而增加，但仅在特定于应用程序的明确范围内; （3）功率分配的动态具有关于性能趋势和实际功耗的分类模式; （4）可以利用分类模式来设计协调功率分配。这些调查结果表明即将举行的电力有界高性能计算的交叉组件协调的承诺。

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