Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms-Reference-Cited by-同舟云学术

Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms

Published:2023-10 Issue:10 Volume:34 Page:2699-2717
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Hu Yihua¹^ORCID,Zhang Feng¹^ORCID,Xia Yifei¹^ORCID,Yao Zhiming¹^ORCID,Zeng Letian¹^ORCID,Ding Haipeng¹^ORCID,Wei Zhewei¹^ORCID,Zhang Xiao¹^ORCID,Zhai Jidong²^ORCID,Du Xiaoyong¹,Ma Siqi³^ORCID

Affiliation:

1. Key Laboratory of Data Engineering and Knowledge Engineering (MOE), and School of Information, Renmin University of China, Beijing, China

2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

3. School of Engineering and Information Technology, University of New South Wales, ADFA, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Beijing Nova Program

Public Computing Cloud, Renmin University of China

Renmin University of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/10201356/10178044.pdf?arnumber=10178044

Reference105 articles.

1. Scalable GPU graph traversal

2. The cloud is not enough: Saving IoT from the cloud;zhang;Proc 7th USENIX Conf Hot Topics Cloud Comput,2015

3. Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

4. Accelerating Large Graph Algorithms on the GPU Using CUDA

5. Context and page analysis for improved Web search

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