A lock-free approach to parallelizing personalized PageRank computations on GPU

Zhigang WANG , Ning WANG , Jie NIE , Zhiqiang WEI , Yu GU , Ge YU

Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (1) : 171602

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Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (1) : 171602 DOI: 10.1007/s11704-022-1546-2
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A lock-free approach to parallelizing personalized PageRank computations on GPU

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Zhigang WANG, Ning WANG, Jie NIE, Zhiqiang WEI, Yu GU, Ge YU. A lock-free approach to parallelizing personalized PageRank computations on GPU. Front. Comput. Sci., 2023, 17(1): 171602 DOI:10.1007/s11704-022-1546-2

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Shun J L, Blelloch G E. Ligra: a lightweight graph processing framework for shared memory. In: Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. 2013, 135– 146

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Wang Z G , Gu Y , Bao Y B , Yu G , Yu J X , Wei Z Q . HGraph: I/O-efficient distributed and iterative graph computing by hybrid pushing/pulling. IEEE Transactions on Knowledge and Data Engineering, 2021, 33( 5): 1973– 1987

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Wang Y Z H, Davidson A, Pan Y C, Wu Y D, Riffel A, Owens J D. Gunrock: a high-performance graph processing library on the GPU. In: Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. 2015, 265– 266

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Sha M , Li Y C , He B S , Tan K L . Accelerating dynamic graph analytics on GPUs. Proceedings of the VLDB Endowment, 2017, 11( 1): 107– 120

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