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20162020
most citedGraphCage: Cache Aware Graph Processing on GPUs

4 citations · 7 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.DC20201 cited

Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining

Xuhao Chen, Roshan Dathathri, Gurbinder Gill +2

Graph pattern mining (GPM) is used in diverse application areas including social network analysis, bioinformatics, and chemical engineering. Existing GPM frameworks either provide…

cs.DC20192 cited

Pangolin: An Efficient and Flexible Graph Pattern Mining System on CPU and GPU

Xuhao Chen, Roshan Dathathri, Gurbinder Gill +1

There is growing interest in graph pattern mining (GPM) problems such as motif counting. GPM systems have been developed to provide unified interfaces for programming algorithms fo…

cs.DC20194 cited

GraphCage: Cache Aware Graph Processing on GPUs

Xuhao Chen

Efficient Graph processing is challenging because of the irregularity of graph algorithms. Using GPUs to accelerate irregular graph algorithms is even more difficult to be efficien…

cs.DC2018

Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs

Xuhao Chen

Deep neural networks have achieved remarkable accuracy in many artificial intelligence applications, e.g. computer vision, at the cost of a large number of parameters and high comp…

cs.DC2016

Evaluating the Performance Impact of Multiple Streams on the MIC-based Heterogeneous Platform

Zhaokui Li, Jianbin Fang, Tao Tang +3

Using \textit{multiple streams} can improve the overall system performance by mitigating the data transfer overhead on heterogeneous systems. Prior work focuses a lot on GPUs but l…