LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS-Reference-Cited by-同舟云学术

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LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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Author:

Mattson Tim,Davis Timothy A.,Kumar Manoj,Buluc Aydin,McMillan Scott,Moreira Jose,Yang Carl

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8765855/8778198/08778338.pdf?arnumber=8778338

Cited by 29 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. Bitmap-Based Sparse Matrix-Vector Multiplication with Tensor Cores;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. Deployment of Real-Time Network Traffic Analysis Using GraphBLAS Hypersparse Matrices and D4M Associative Arrays;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

3. Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

4. Algorithm 1037: SuiteSparse:GraphBLAS: Parallel Graph Algorithms in the Language of Sparse Linear Algebra;ACM Transactions on Mathematical Software;2023-09-19

5. MatGraph: An Energy-Efficient and Flexible CGRA Engine for Matrix-Based Graph Analytics;Algorithms and Architectures for Parallel Processing;2023

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