Agile C-states: A Core C-state Architecture for Latency Critical Applications Optimizing both Transition and Cold-Start Latency

Latency-critical applications running in modern datacenters exhibit irregular request arrival patterns and are implemented using multiple services with strict latency requirements (30-250μs). These characteristics render existing energy-saving idle CPU sleep states ineffective due to the performance overhead caused by the state's transition latency. Besides the state transition latency, another important contributor to the performance overhead of sleep states is the cold-start latency, or in other words, the time required to warm up the microarchitectural state (e.g., cache contents, branch predictor metadata) that is flushed or discarded when transitioning to a lower-power state. Both the transition latency and cold-start latency can be particularly detrimental to the performance of latency critical applications with short execution times. While prior work focuses on mitigating the effects of transition and cold-start latency by optimizing request scheduling, in this work we propose a redesign of the core C-state architecture for latency-critical applications. In particular, we introduce C6Awarm, a new Agile core C-state that drastically reduces the performance overhead caused by idle sleep state transition latency and cold-start latency while maintaining significant energy savings. C6Awarm achieves its goals by (1) implementing medium-grained power gating, (2) preserving the microarchitectural state of the core, and (3) keeping the clock generator and PLL active and locked. Our analysis for a set of microservices based on an Intel Skylake server shows that C6Awarm manages to reduce the energy consumption by up to 70% with limited performance degradation (at most 2%).

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2024-12-01
DOI
https://doi.org/10.3929/ethz-b-000708780
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Agile C-states: A Core C-state Architecture for Latency Critical Applications Optimizing both Transition and Cold-Start Latency

Repository for Publications and Research Data (ETH Zurich)
Cloud Computing and Resource Management
article

Agile C-states: A Core C-state Architecture for Latency Critical Applications Optimizing both Transition and Cold-Start Latency

article en

Abstract

Latency-critical applications running in modern datacenters exhibit irregular request arrival patterns and are implemented using multiple services with strict latency requirements (30-250μs). These characteristics render existing energy-saving idle CPU sleep states ineffective due to the performance overhead caused by the state's transition latency. Besides the state transition latency, another important contributor to the performance overhead of sleep states is the cold-start latency, or in other words, the time required to warm up the microarchitectural state (e.g., cache contents, branch predictor metadata) that is flushed or discarded when transitioning to a lower-power state. Both the transition latency and cold-start latency can be particularly detrimental to the performance of latency critical applications with short execution times. While prior work focuses on mitigating the effects of transition and cold-start latency by optimizing request scheduling, in this work we propose a redesign of the core C-state architecture for latency-critical applications. In particular, we introduce C6Awarm, a new Agile core C-state that drastically reduces the performance overhead caused by idle sleep state transition latency and cold-start latency while maintaining significant energy savings. C6Awarm achieves its goals by (1) implementing medium-grained power gating, (2) preserving the microarchitectural state of the core, and (3) keeping the clock generator and PLL active and locked. Our analysis for a set of microservices based on an Intel Skylake server shows that C6Awarm manages to reduce the energy consumption by up to 70% with limited performance degradation (at most 2%).

Repository for Publications and Research Data (ETH Zurich)
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Cloud Computing and Resource Management
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Agile C-states: A Core C-state Architecture for Latency Critical Applications Optimizing both Transition and Cold-Start Latency · Repository for Publications and Research Data (ETH Zurich) (2024) | TGRS Research Map | TGRS