Analyzing Energy Efficiency of a Server with a SmartNIC under SLO Constraints

Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Network processing has become a fast-increasing portion of the datacenter tax. To tackle this problem, the industry introduced SmartNICs comprising energy-efficient CPU cores, FPGA and/or accelerators. With architectures optimized for network-intensive applications, they promise to notably reduce the total cost of ownership (TCO) of datacenters primarily through improving energy efficiency. As such, this paper sets out to investigate the overall energy efficiency of an Intel Xeon CPU based server with an NVIDIA BlueField-2 SmartNIC, especially under service level objective (SLO) constraints which matter for many datacenter services.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-336
Number of pages3
ISBN (Electronic)9798350397390
DOIs
StatePublished - 2023
Event2023 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2023 - Raleigh, United States
Duration: Apr 23 2023Apr 25 2023

Publication series

NameProceedings - 2023 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2023

Conference

Conference2023 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2023
Country/TerritoryUnited States
CityRaleigh
Period4/23/234/25/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Software
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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