一种自我感知处理器SoC,将能量监视器集成到功率转换器中以实现自适应

Yildiz Sinangil, Sabrina M. Neuman, M. Sinangil, N. Ickes, George B. P. Bezerra, Eric Lau, Jason E. Miller, H. Hoffmann, S. Devadas, A. Chandrakasan
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引用次数: 17

摘要

本文提出了一种带有能量监测电路的自感知处理器,可以测量关键模块的实际能耗。监视器嵌入到片上DC/DC转换器中,以最小的功率(< 0.1%)和面积(< 1%)开销产生精度在10%以内的结果。该系统采用0.18μm工艺,电压可从1.8V降至0.6V。通过使用8T位单元和写辅助,使低压SRAM操作成为可能。d-cache被设计成可在关联性和大小上重新配置,以适应应用程序的计算与缓存绑定阶段。缓存配置在<;3个时钟周期,包括标签失效。这些硬件特性使软件自我感知计算引擎(SEEC)能够动态调整处理器以满足性能和能源目标。测量结果表明,采用DVFS和自适应可以实现高达8.4倍的节能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A self-aware processor SoC using energy monitors integrated into power converters for self-adaptation
This paper presents a self-aware processor with energy monitoring circuits that can measure actual energy consumption of the key blocks. The monitors are embedded into on-chip DC/DC converters and generate results within 10% of accuracy with minimal power (<;0.1%) and area (<;1%) overhead. Our system, which is implemented in 0.18μm technology, is designed to be voltage scalable from 1.8V down to 0.6V. Low-voltage SRAM operation is made possible through the use of 8T bit-cells and write-assists. The d-caches are designed to be re-configurable in associativity and size to adapt to compute- versus cache-bound phases of applications. Cache configuration is performed in <; 3 clock cycles including tag invalidation. These hardware features enable a software self-aware computation engine (SEEC) to dynamically adapt the processor to meet performance and energy goals. Measurement results show that up to 8.4× energy savings can be achieved with DVFS and self-adaptation.
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