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Quantifying sources of error in McPAT and potential impacts on architectural studies

机译:量化McPAT中的错误来源及其对体系结构研究的潜在影响

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Architectural power modeling tools are widely used by the computer architecture community for rapid evaluations of high-level design choices and design space explorations. Currently, McPAT [31] is the de facto power model, but the literature does not yet contain a careful examination of its modeling accuracy. In addition, the issue of how greatly power modeling error can affect architectural-level studies has not been quantified before. In this work, we present the first rigorous assessment of McPAT's core power and area models with a detailed, validated power modeling toolchain used in current industrial practice. We find that McPAT's predictions can have significant error because some of the models are either incomplete, too high-level, or assume implementations of structures that differ from that of the core at hand. We demonstrate that large errors are possible when using McPAT's dynamic power estimates in the context of voltage noise and thermal hotspots, but for steady-state properties, accurately modeling leakage power is more important. Based on our analysis, we are able to provide guidelines for creating accurate McPAT models, even without access to detailed industrial power modeling tools. We conclude that in spite of its accuracy gaps, McPAT is still a very useful tool for many architectural studies, and its limitations can often be adequately addressed for a given research study of interest.
机译:计算机架构社区广泛使用了架构能力建模工具来快速评估高级设计选择和设计空间探索。目前,McPAT [31]是事实上的功率模型,但文献尚未对其模型的准确性进行仔细检查。此外,功率建模误差会在多大程度上影响体系结构级别的研究,这一问题尚未得到量化。在这项工作中,我们将对McPAT的核心功率和面积模型进行首次严格评估,并使用经过验证的详细功率模型工具链进行当前工业实践。我们发现,McPAT的预测可能会产生重大错误,因为某些模型要么不完整,太高级,要么假定实现的结构与现有核心的结构不同。我们证明,在电压噪声和热热点的情况下使用McPAT的动态功率估算时,可能会出现较大误差,但对于稳态特性,准确建模泄漏功率更为重要。根据我们的分析,即使不使用详细的工业电源建模工具,我们也可以提供创建准确的McPAT模型的指南。我们得出的结论是,尽管其准确性存在差距,但McPAT仍然是许多建筑研究的非常有用的工具,对于给定的感兴趣的研究,通常可以充分解决其局限性。

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