Disaggregated GPU Acceleration for Serverless Applications

Q3 Computer Science

Operating Systems Review (ACM) Pub Date : 2023-06-26 DOI:10.1145/3606557.3606560

Henrique Fingler, Zhiting Zhu, Esther Yoon, Zhipeng Jia, E. Witchel, C. Rossbach

引用次数: 0

Abstract

Serverless platforms have been attracting applications from traditional platforms because infrastructure management responsibilities are shifted from users to providers. Many applications well-suited to serverless environments could leverage GPU acceleration to enhance their performance. Unfortunately, current serverless platforms do not expose GPUs to serverless applications.

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用于无服务器应用程序的分解GPU加速

无服务器平台一直在吸引来自传统平台的应用程序，因为基础设施管理的责任从用户转移到提供商。许多非常适合无服务器环境的应用程序可以利用GPU加速来增强其性能。不幸的是，目前的无服务器平台并没有将gpu暴露给无服务器应用程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Operating Systems Review (ACM) Computer Science-Computer Networks and Communications

CiteScore

2.80

自引率

0.00%

发文量

期刊介绍： Operating Systems Review (OSR) is a publication of the ACM Special Interest Group on Operating Systems (SIGOPS), whose scope of interest includes: computer operating systems and architecture for multiprogramming, multiprocessing, and time sharing; resource management; evaluation and simulation; reliability, integrity, and security of data; communications among computing processors; and computer system modeling and analysis.