Efficient Hybrid Breadth-First Search on GPUs
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-03889-6_5
Reference13 articles.
1. Brief Introduction of Graph 500, http://www.graph500.org/
2. Beamer, S., Asanović, K., Patterson, D.: Direction-Optimizing Breadth-First Search. In: Proc. International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2012, No. 12 (2012)
3. Agarwal, V., Petrini, F., Pasetto, D., Bader, D.A.: Scalable Graph Exploration on Multicore Processors. In: Proc. 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2010, pp. 1–11 (2010)
4. Beamer, S., Buluç, A., Asanović, K., Patterson, D.A.: Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search. Technical Report UCB/EECS-2013-2, EECS Department, University of California, Berkeley (2013)
5. Merrill, D., Garland, M., Grimshaw, A.: Scalable GPU graph traversal. In: Proc. 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2012), pp. 117–128 (2012)
Cited by 11 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. FSGraph: fast and scalable implementation of graph traversal on GPUs;CCF Transactions on High Performance Computing;2023-05-31
2. Coupled Incomplete Cholesky and Jacobi Preconditioned Conjugate Gradient on the New Generation of Sunway Many-core Architecture;IEEE Transactions on Computers;2023
3. Highly Efficient and GPU-Friendly Implementation of BFS on Single-node System;2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2020-12
4. Developing an Efficient Vector-Friendly Implementation of the Breadth-First Search Algorithm for NEC SX-Aurora TSUBASA;Communications in Computer and Information Science;2020
5. Exploiting social network graph characteristics for efficient BFS on heterogeneous chips;Journal of Parallel and Distributed Computing;2018-10
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