Software Systems Implementation and Domain-Specific Architectures towards Graph Analytics

Article Properties
  • Language
    English
  • Publication Date
    2022/01/01
  • Indian UGC (journal)
  • Refrences
    198
  • Citations
    1
  • Hai Jin National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Hao Qi National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Jin Zhao National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaZhejiang-HUST Joint Research Center for Graph Processing, Zhejiang Lab, Zhejiang, China
  • Xinyu Jiang National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Yu Huang National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaZhejiang-HUST Joint Research Center for Graph Processing, Zhejiang Lab, Zhejiang, China
  • Chuangyi Gui National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Qinggang Wang National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Xinyang Shen National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Yi Zhang National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Ao Hu National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Dan Chen National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Chaoqiang Liu National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Haifeng Liu National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Haiheng He National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Xiangyu Ye National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Runze Wang National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Jingrui Yuan National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
  • Pengcheng Yao National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaZhejiang-HUST Joint Research Center for Graph Processing, Zhejiang Lab, Zhejiang, China
  • Yu Zhang National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaZhejiang-HUST Joint Research Center for Graph Processing, Zhejiang Lab, Zhejiang, China
  • Long Zheng National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaZhejiang-HUST Joint Research Center for Graph Processing, Zhejiang Lab, Zhejiang, China
  • Xiaofei Liao National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Abstract
Cite
Jin, Hai, et al. “Software Systems Implementation and Domain-Specific Architectures towards Graph Analytics”. Intelligent Computing, vol. 2022, 2022, https://doi.org/10.34133/2022/9806758.
Jin, H., Qi, H., Zhao, J., Jiang, X., Huang, Y., Gui, C., Wang, Q., Shen, X., Zhang, Y., Hu, A., Chen, D., Liu, C., Liu, H., He, H., Ye, X., Wang, R., Yuan, J., Yao, P., Zhang, Y., … Liao, X. (2022). Software Systems Implementation and Domain-Specific Architectures towards Graph Analytics. Intelligent Computing, 2022. https://doi.org/10.34133/2022/9806758
Jin, Hai, Hao Qi, Jin Zhao, Xinyu Jiang, Yu Huang, Chuangyi Gui, Qinggang Wang, et al. “Software Systems Implementation and Domain-Specific Architectures towards Graph Analytics”. Intelligent Computing 2022 (2022). https://doi.org/10.34133/2022/9806758.
Jin H, Qi H, Zhao J, Jiang X, Huang Y, Gui C, et al. Software Systems Implementation and Domain-Specific Architectures towards Graph Analytics. Intelligent Computing. 2022;2022.
Journal Category
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Refrences
Title Journal Journal Categories Citations Publication Date
A structure-aware storage optimization for out-of-core concurrent graph processing 2022
EnGN: a high-throughput and energy-efficient accelerator for large graph neural networks 2021
Graph processing and machine learning architectures with emerging memory technologies: a survey Science China Information Sciences
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
12 2021
Towards efficient allocation of graph convolutional networks on hybrid computation-in-memory architecture Science China Information Sciences
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
10 2021
GraphZero

ACM SIGOPS Operating Systems Review 6 2021
Citations
Title Journal Journal Categories Citations Publication Date
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing

ACM Transactions on Architecture and Code Optimization
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing and was published in 2023. The most recent citation comes from a 2023 study titled GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals. Among related journals, the ACM Transactions on Architecture and Code Optimization cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year