Affiliation:
1. The Ohio State University
Abstract
Power consumption is a primary concern for microprocessor designers. Lowering the supply voltage of processors is one of the most effective techniques for improving their energy efficiency. Unfortunately, low-voltage operation faces multiple challenges going forward. One such challenge is increased sensitivity to voltage fluctuations, which can trigger so-called "voltage emergencies" that can lead to errors. These fluctuations are caused by abrupt changes in power demand, triggered by processor activity variation as a function of workload.
This paper examines the effects of voltage fluctuations on future many-core processors. With the increase in the number of cores in a chip, the effects of chip-wide activity fluctuation -- such as that caused by global synchronization in multithreaded applications -- overshadow the effects of core-level workload variability. Starting from this observation, we developed VRSync, a novel synchronization methodology that uses emergency-aware scheduling policies that reduce the slope of load fluctuations, eliminating emergencies. We show that VRSync is very effective at eliminating emergencies, allowing voltage guardbands to be significantly lowered, which reduces energy consumption by an average of 33%.
Publisher
Association for Computing Machinery (ACM)
Cited by
7 articles.
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1. MCM-GPU Voltage Noise Characterization and Architecture-Level Mitigation;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12
2. MG-Voltage: Characterizing and Mitigating Voltage Noise in MCM-GPU Architectures;2022 IEEE 40th International Conference on Computer Design (ICCD);2022-10
3. DarkGates: A Hybrid Power-Gating Architecture to Mitigate the Performance Impact of Dark-Silicon in High Performance Processors;2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2022-04
4. Compiler-Directed Energy Efficiency;Energy Efficient High Performance Processors;2018
5. Safe limits on voltage reduction efficiency in GPUs;Proceedings of the 48th International Symposium on Microarchitecture;2015-12-05