统一工频模型框架

Sriram Sundaram, Warren He, Sriram Sambamurthy, Aaron Grenat, Steven Liepe, S. Naffziger
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引用次数: 0

摘要

本文描述了一种统一的工频模型(UPFM),该模型结合了分析和经验方法,以确保高度的建模灵活性和测量硅(Si)结果的准确性。一方面,片上系统(SoC)设计团队将大部分精力集中在使用详细的底层模型来验证功耗上。这样的模型在设计周期的后期可用,并且通常在可评估的工作负载数量上受到限制。另一方面,基于fpga的建模和基于更高层次抽象的电子表格方法已经被提出。然而,这些通常受到与测量Si结果相关性差的限制。此外,现有模型通常侧重于功率预测或Si速度预测,而不是两者兼而有之。由于今天的soc必须同时满足严格的功率和性能限制,因此非常需要统一的方法。所提出的UPFM模型克服了这些限制。首先,实际测量的Si结果作为预测的经验基线基础,以便可以校准模拟与测量的差异。其次,使用大量相关参数对每个IP进行分析建模。这种高层次的抽象允许模型从早期设计周期一直到成熟阶段(参数随着时间的推移而细化)都是有用的。此外,广泛的参数也经过精心选择(并在多代产品中得到改进),因此不会牺牲准确性。我们展示了UPFM作为一个全面的框架,其中技术、架构和基础设施(测试/热)选择可以高精度地建模,并驱动最佳的每瓦性能SoC设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unified Power Frequency Model Framework
This paper describes a unified power-frequency model (UPFM) which combines analytical and empirical approaches to ensure a high degree of modeling flexibility and accuracy to measured silicon (Si) results. On one end, System-on-a-Chip (SoC) design teams focus the bulk of their efforts on using detailed low-level models to verify power consumption. Such models are available late in the design cycle, and often limited in number of workloads that can be evaluated. On the other end, FPGA-based modeling and spreadsheet approaches that operate on higher-level abstraction have been proposed. However these are often limited by poor correlation to measured Si results. In addition, extant models typically focus on power projection or prediction of Si speed but not both. A unified approach is much needed since SOCs today have to meet stringent power and performance constraints simultaneously. The proposed UPFM model overcomes these limitations. First actual measured Si results serve as the empirical baseline foundation for projections so that simulated vs. measured differences can be calibrated. Second, each IP is analytically modeled using a large number of relevant parameters. This high level of abstraction allows for the model to be useful from early design cycle all the way to the mature phase (parameters get refined over time). Also, wide-ranging parameters have been carefully chosen (and improved over multiple product generations) so that accuracy is not sacrificed. We demonstrate UPFM as a comprehensive framework where technology, architecture and infrastructure (test/thermal) choices can be modeled with high accuracy and drive optimal perf-per-watt SoC designs.
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