CIC-PIM: Trading spare computing power for memory space in graph processing-Reference-Cited by-同舟云学术

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CIC-PIM: Trading spare computing power for memory space in graph processing

Published:2021-01 Issue: Volume:147 Page:152-165
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Zhang Yongxuan,Jiang Hong,Wang Fang,Hua Yu,Feng Dan,Cheng Yongli,Hu Yuchong,Xiao Renzhi

Funder

National Key R&D Program of China

NSFC

National Science and Technology Major Project

Fundamental Research Funds for the Central Universities

CERNET Innovation Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference71 articles.

1. PATRIC: A parallel algorithm for counting triangles in massive networks;Arifuzzaman,2013

2. A space-efficient parallel algorithm for counting exact triangles in massive networks;Arifuzzaman,2015

3. Parallel triangle counting and enumeration using matrix algebra;Azad,2015

4. Reductions in streaming algorithms, with an application to counting triangles in graphs;Bar-Yossef,2002

5. Direction-optimizing breadth-first search;Beamer;Sci. Program.,2013

Cited by 1 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. LOSC: A locality-optimized subgraph construction scheme for out-of-core graph processing;Journal of Parallel and Distributed Computing;2023-02

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