Voltage smoothing: Characterizing and mitigating voltage noise in production processors via software-guided thread scheduling

Citation:

Vijay Reddi, Svilen Kanev, Wonyoung Kim, Simone Campanoni, Michael Smith, Gu Wei, and David Brooks. 12/4/2010. “Voltage smoothing: Characterizing and mitigating voltage noise in production processors via software-guided thread scheduling.” In 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture. IEEE. Publisher's Version

Abstract:

Parameter variations have become a dominant challenge in microprocessor design. Voltage variation is especially daunting because it happens so rapidly. We measure and characterize voltage variation in a running Intel Core2 Duo processor. By sensing on-die voltage as the processor runs single-threaded, multi-threaded, and multi-program workloads, we determine the average supply voltage swing of the processor to be only 4%, far from the processor’s 14% worst-case operating voltage margin. While such large margins guarantee correctness, they penalize performance and power efficiency. We investigate and quantify the benefits of designing a processor for typical-case (rather than worst-case) voltage swings, assuming that a fail-safe mechanism protects it from infrequently occurring large voltage fluctuations. With today’s processors, such resilient designs could yield 15% to 20% performance improvements. But we also show that in future systems, these gains could be lost as increasing voltage swings intensify the frequency of fail-safe recoveries. After characterizing microarchitectural activity that leads to voltage swings within multi-core systems, we show that a voltage-noise-aware thread scheduler in software can co-schedule phases of different programs to mitigate error recovery overheads in future resilient processor designs.
Last updated on 04/28/2022