Resource Sharing Centric Dynamic Voltage and Frequency Scaling for CMP Cores, Uncore, and Memory

Author:

Won Jae-Yeon1,Gratz Paul V.1,Shakkottai Srinivas1,Hu Jiang1

Affiliation:

1. Texas A&M University, College Station, TX

Abstract

With the breakdown of Dennard’s scaling over the past decade, performance growth of modern microprocessor design has largely relied on scaling core count in chip multiprocessors (CMPs). The challenge of chip power density, however, remains and demands new power management solutions. This work investigates a coordinated CMP systemwide Dynamic Voltage and Frequency Scaling (DVFS) policy centered around shared resource utilization. This approach represents a new angle on the problem, differing from the conventional core-workload-driven approaches. The key component of our work is per-core DVFS leveraging a technique similar to TCP Vegas congestion control from networking. This TCP Vegas–based DVFS can potentially identify the synergy between power reduction and performance improvement. Further, this work includes uncore (on-chip interconnect and shared last level cache) and main memory DVFS policies coordinated with the per-core DVFS policy. Full system simulations on PARSEC benchmarks show that our technique reduces total energy dissipation by over 47% across all benchmarks with less than 2.3% performance degradation. Our work also leads to 12% more energy savings compared to a prior work CMP DVFS policy.

Funder

Intel Corporation

NSF

AFOSR

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal Sprinting Pattern in Thermal Constrained CMPs;IEEE Transactions on Emerging Topics in Computing;2021-01-01

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