XBFS
Author:
Affiliation:
1. University of Massachusetts Lowell, Lowell, MA, USA
2. University of Central Florida, Orlando, FL, USA
Funder
National Science Foundation
Amazon Web Services
Nvidia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3307681.3326606
Reference45 articles.
1. iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees
2. Scalable and High Performance Betweenness Centrality on the GPU
3. iBFS
4. TriCore: Parallel Triangle Counting on GPUs
5. High-Performance Triangle Counting on GPUs
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1. FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30
2. GPU-Accelerated BFS for Dynamic Networks;Lecture Notes in Computer Science;2024
3. TANGO: re-thinking quantization for graph neural network training on GPUs;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11
4. A Decentralized Frontier Queue for Improving Scalability of Breadth-First-Search on GPUs;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04
5. HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04
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