Scheduler activations

Author:

Anderson Thomas E.,Bershad Brian N.,Lazowska Edward D.,Levy Henry M.

Abstract

Threads are the vehicle for concurrency in many approaches to parallel programming. Threads can be supported either by the operating system kernel or by user-level library code in the application address space, but neither approach has been fully satisfactory. This paper addresses this dilemma. First, we argue that the performance of kernel threads is inherently worse than that of user-level threads, rather than this being an artifact of existing implementations; managing parallelism at the user level is essential to high-performance parallel computing. Next, we argue that the problems encountered in integrating user-level threads with other system services is a consequence of the lack of kernel support for user-level threads provided by contemporary multiprocessor operating systems; kernel threads are the wrong abstraction on which to support user-level management of parallelism. Finally, we describe the design, implementation, and performance of a new kernel interface and user-level thread package that together provide the same functionality as kernel threads without compromising the performance and flexibility advantages of user-level management of parallelism.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Cited by 140 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware;Proceedings of the VLDB Endowment;2024-04

2. LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

3. Improving concurrency and memory usage in distributed operating systems for lightweight manycores via cooperative time-sharing lightweight tasks;Journal of Parallel and Distributed Computing;2023-04

4. MAPPER: Managing Application Performance via Parallel Efficiency Regulation;ACM Transactions on Architecture and Code Optimization;2022-03-24

5. A Task-based Execution Engine for Distributed Operating Systems Tailored to Lightweight Manycores with Limited On-Chip Memory;2021 IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2021-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3