Scaling graph traversal to 281 trillion edges with 40 million cores

Author:

Cao Huanqi1,Wang Yuanwei1,Wang Haojie1,Lin Heng2,Ma Zixuan1,Yin Wanwang3,Chen Wenguang1

Affiliation:

1. Tsinghua University, Beijing, China

2. Peking University, Beijing, China

3. National Supercomputing Center in Wuxi, Wuxi, Jiangsu, China

Funder

NSFC

National Key Research & Development Plan of China

Publisher

ACM

Cited by 9 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. GraphSER: Distance-Aware Stream-Based Edge Repartition for Many-Core Systems;ACM Transactions on Architecture and Code Optimization;2024-09-14

2. A Survey of Distributed Graph Algorithms on Massive Graphs;ACM Computing Surveys;2024-09-05

3. GraphCube: Interconnection Hierarchy-aware Graph Processing;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20

4. Optimising Queries for Pattern Detection Over Large Scale Temporally Evolving Graphs;IEEE Access;2024

5. On Overcoming HPC Challenges of Trillion-Scale Real-World Graph Datasets;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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