2012•IEEE MicroRequires access

Adaptive Power Capping for Servers with Multithreaded Workloads

Sherief Reda, Ryan Cochran, Ayse Kivilcim Coskun

Open publisher page 49 citations

Abstract

Power capping in computer clusters enables energy budgeting, efficient power delivery, and management of operational and cooling costs. Pack and Cap is a novel, practical methodology to select thread packing and dynamic voltage and frequency scaling (DVFS) configurations by learning multithreaded workload characteristics and adapting to dynamic-power caps. Pack and Cap improves energy efficiency and achievable range of power caps.

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What this paper is about

Power capping in computer clusters enables energy budgeting, efficient power delivery, and management of operational and cooling costs. Pack and Cap is a novel, practical methodology to select thread packing and dynamic voltage and frequency scaling (DVFS) configurations by learning multithreaded workload characteristics and adapting to dynamic-power caps. Pack and Cap improves energy efficiency and achievable range of power caps.

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OpenAlex reports 49 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Power capping in computer clusters enables energy budgeting, efficient power delivery, and management of operational and cooling costs. Pack and Cap is a novel, practical methodology to select thread packing and dynamic voltage and frequency scaling (DVFS) configurations by learning multithreaded workload characteristics and adapting to dynamic-power caps. Pack and Cap improves energy efficiency and achievable range of power caps.

Key concepts: Computer science, Frequency scaling, Thread (computing), Workload, Power management, Server, Multithreading, Power (physics)

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