Jimmy Clidaras

dblp:15/9761 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing
datacenter power management
0.412020
Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping · ASPLOS 2020
Energy-efficient computing › power management
power capping
0.412020
Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping · ASPLOS 2020
Energy-efficient computing › datacenter power management
power oversubscription
0.412020
Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping · ASPLOS 2020

Methods — techniques the papers use, named apart from their topics

workload prioritization · 0.4power capping · 0.4
YearPublicationVenuePosition
2020 Data Center Power Oversubscription with a Medium Voltage Power Plane and Priority-Aware Capping
abstract
As major web and cloud service providers continue to accelerate the demand for new data center capacity worldwide, the importance of power oversubscription as a lever to reduce provisioning costs has never been greater. Building on insights from Google-scale deployments, we design and deploy a new architecture across hardware and software to improve power oversubscription significantly. Our design includes (1) a new \em medium voltage power plane to enable larger power sharing domains (across tens of MW of equipment) and (2) a \em scalable, fast, and robust power capping service coordinating multiple priorities of workload on every node. Over several years of production deployment, our co-design has enabled \em power oversubscription of 25% or higher, saving hundreds of millions of dollars of data center costs, while preserving the desired availability and performance of all workloads.
Varun Sakalkar, Vasileios Kontorinis, David Landhuis, Shaohong Li, Darren De Ronde, Thomas Blooming, Anand Ramesh, Christopher Malone, Jimmy Clidaras, Parthasarathy Ranganathan
ASPLOS10