SympleGraph: distributed graph processing with precise loop-carried dependency guarantee-Reference-Cited by-同舟云学术

SympleGraph: distributed graph processing with precise loop-carried dependency guarantee

Published:2020-06-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
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Author:

Zhuo Youwei¹,Chen Jingji¹,Luo Qinyi¹,Wang Yanzhi²,Yang Hailong³,Qian Depei³,Qian Xuehai¹

Affiliation:

1. University of Southern California, USA

2. Northeastern University, USA

3. Beihang University, China

Funder

Division of Computer and Network Systems

Division of Computing and Communication Foundations

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3385412.3385961

Reference64 articles.

1. Andrei Alexandrescu and Katrin Kirchhoff. 2007. Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP.. In HLT-NAACL. 204–211. Andrei Alexandrescu and Katrin Kirchhoff. 2007. Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP.. In HLT-NAACL. 204–211.

2. Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner etal 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261 (2018). Peter W Battaglia Jessica B Hamrick Victor Bapst Alvaro Sanchez-Gonzalez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner et al. 2018. Relational inductive biases deep learning and graph networks. arXiv preprint arXiv:1806.01261 (2018).

3. Scott Beamer Krste Asanović and David Patterson. 2015. The GAP Benchmark Suite. arXiv: cs.DC/1508.03619 Scott Beamer Krste Asanović and David Patterson. 2015. The GAP Benchmark Suite. arXiv: cs.DC/1508.03619

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