Gunrock: a high-performance graph processing library on the GPU-Reference-Cited by-同舟云学术

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Gunrock: a high-performance graph processing library on the GPU

Published:2015-01-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
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Author:

Wang Yangzihao¹,Davidson Andrew¹,Pan Yuechao¹,Wu Yuduo¹,Riffel Andy¹,Owens John D.¹

Affiliation:

1. University of California at Davis, USA

Funder

Defense Advanced Research Projects Agency STTR

National Science Foundation

UC Lab Fees Research Program Award

Defense Advanced Research Projects Agency XDATA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2688500.2688538

Reference4 articles.

1. MapGraph

2. Ligra

3. Medusa: Simplified Graph Processing on GPUs

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2. Efficient Multi-GPU Graph Processing with Remote Work Stealing;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. Optimization Techniques for GPU Programming;ACM Computing Surveys;2023-03-16

4. ezLDA: Efficient and Scalable LDA on GPUs;IEEE Access;2023

5. A lock-free approach to parallelizing personalized PageRank computations on GPU;Frontiers of Computer Science;2022-08-08

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