20 citations · 48 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
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…
GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators
Zhen Xu, Xuhao Chen, Jie Shen +3
This paper presents the Graph Analytics Repository for Designing Next-generation Accelerators (GARDENIA), a benchmark suite for studying irregular algorithms on massively parallel…
Streaming Applications on Heterogeneous Platforms
Zhaokui Li, Jianbin Fang, Tao Tang +2
Using multiple streams can improve the overall system performance by mitigating the data transfer overhead on heterogeneous systems. Currently, very few cases have been streamed to…