Improved implementations of binary universal operations

Author:

Attiya Hagit1,Dagan Eyal1

Affiliation:

1. The Technion, Haifa, Israel

Abstract

We present an algorithm for implementing binary operations (of any type) from unary load-linked (LL) and store-conditional (SC) operations. The performance of the algorithm is evaluated according to its sensitivity , measuring the distance between operations in the graph induced by conflicts, which guarantees that they do not influence the step complexity of each other. The sensitivity of our implementation is O (log * n ), where n is the number of processors in the system. That is, operations that are Ω(log * n ) apart in the graph induced by conflicts do not delay each other. Constant sensitivity is achieved for operations used to implement heaps and array-based linked lists.We also prove that there is a problem which can be solved in O (1) steps using binary LL/SC operations, but requires O (log log * n ) operations if only unary LL/SC operations are used. This indicates a non-constant gap between unary and binary, LL/SC operations.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Cited by 14 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. Faster Randomized Repeated Choice and DCAS;Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing;2024-06-17

2. Fast and Fair Randomized Wait-Free Locks;Proceedings of the 2022 ACM Symposium on Principles of Distributed Computing;2022-07-20

3. Efficient randomized DCAS;Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing;2021-06-15

4. Universal constructions that ensure disjoint-access parallelism and wait-freedom;Distributed Computing;2016-01-21

5. Built-in Coloring for Highly-Concurrent Doubly-Linked Lists;Theory of Computing Systems;2012-08-01

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