Search Results for author: Xiaofei Liao

Found 3 papers, 1 papers with code

Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUs

1 code implementation6 Apr 2022 Shaoxian Xu, Zhiyuan Shao, Ci Yang, Xiaofei Liao, Hai Jin

In this paper, we first point out that in a GCN training problem with a given training set, the aggregation stages of its backward propagation phase (called as backward aggregations in this paper) can be converted to partially-active graph processing procedures, which conduct computation on only partial vertices of the input graph.

A Survey on Graph Processing Accelerators: Challenges and Opportunities

no code implementations26 Feb 2019 Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin

Graph is a well known data structure to represent the associated relationships in a variety of applications, e. g., data science and machine learning.

Distributed, Parallel, and Cluster Computing

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