LightTraffic: On Optimizing CPU-GPU Data Traffic for Efficient Large-scale Random Walks-Reference-Cited by-同舟云学术

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LightTraffic: On Optimizing CPU-GPU Data Traffic for Efficient Large-scale Random Walks

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
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Author:

Xing Yipeng¹,Li Yongkun¹,Wang Zhiqiang¹,Xu Yinlong¹,Lui John C. S.²

Affiliation:

1. University of Science and Technology of China

2. The Chinese University of Hong Kong,Department of Computer Science and Engineering

Funder

Youth Innovation Promotion Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184564.pdf?arnumber=10184564

Reference77 articles.

1. GraphX: Graph processing in a distributed dataflow framework;gonzalez;11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 14),2014

2. Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

3. PowerGraph: Distributed Graph-Parallel computation on natural graphs;gonzalez;10th USENIX Symposium on Operating Systems Design and Implementation (OSDI 12),2012

4. LUMOS: Dependency-Driven disk-based graph processing;vora;2019 USENIX Annual Technical Conference (USENIX ATC 19),2019

5. Accelerating graph sampling for graph machine learning using GPUs

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