Frequent subtree mining on the automata processor-Reference-Cited by-同舟云学术

Frequent subtree mining on the automata processor

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Supercomputing - ICS '17
language:
Short-container-title:

Author:

Sadredini Elaheh¹,Rahimi Reza¹,Wang Ke¹,Skadron Kevin¹

Affiliation:

1. University of Virginia

Publisher

ACM Press

Reference16 articles.

1. A. Agarwal, B. Xie, I. Vovsha, O. Rambow, and R. Passonneau. 2011. Sentiment analysis of twitter data. InProceedings of the Workshop on Languages in Social Media. Association for Computational Linguistics.

2. C. Bo, K. Wang, J. Fox, and K. Skadron. 2016. Entity Resolution Acceleration using the Automata Processor. InProceedings of the IEEE International Conference on Big Data. IEEE.

3. Y. Chi and J. Kok. 2001. Frequent subtree mining-an overview.Fundamenta Informaticae21.

4. P. Dlugosch, D. Brown, P. Glendenning, M. Leventhal, and H. Noyes. 2014. An efficient and scalable semiconductor architecture for parallel automata processing.IEEE Transactions on Parallel and Distributed Systems (TPDS)25, 12.

5. R. Iváncsy and I. Vajk. 2007. Automata Theory Approach for Solving Frequent Pattern Discovery Problems.International Journal of Computer, Electrical, Automation, Control and Information Engineering, World Academy of Science, Engineering and Technology1, 8.

Cited by 10 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. ngAP: Non-blocking Large-scale Automata Processing on GPUs;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1;2024-04-17

2. Asynchronous Automata Processing on GPUs;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2023-02-27

3. hAP: A Spatial-von Neumann Heterogeneous Automata Processor with Optimized Resource and IO Overhead on FPGA;Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays;2023-02-12

4. CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories;2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2022-04

5. Sunder: Enabling Low-Overhead and Scalable Near-Data Pattern Matching Acceleration;MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture;2021-10-17