Publications

Bingyi Zhang, Hanqing Zeng, Viktor Prasanna (2022). DecGNN: a framework for mapping decoupled GNN models onto CPU-FPGA heterogeneous platform. ACM/FPGA (poster).

Cite DOI

Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen (2021). Decoupling the depth and scope of Graph Neural Networks. NeurIPS.

PDF Cite Code Poster Slides

Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor Prasanna (2021). Accelerating large scale real-time GNN inference using channel pruning. VLDB.

PDF Cite DOI

Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (2021). Accurate, efficient and scalable training of Graph Neural Networks. JPDC.

PDF Cite DOI

Bingyi Zhang, Hanqing Zeng, Viktor Prasanna (2020). Hardware acceleration of large scale GCN inference. IEEE/ASAP.

Cite DOI

Kevin E Murray, Oleg Petelin, Sheng Zhong, Jia Min Wang, Mohamed Eldafrawy, Jean-Philippe Legault, Eugene Sha, Aaron G Graham, Jean Wu, Matthew JP Walker, Hanqing Zeng, Panagiotis Patros, Jason Luu, Kenneth B Kent, Vaughn Betz (2020). VTR 8: High-performance CAD and customizable FPGA architecture modelling. ACM/TRETS.

Cite Code

Bingyi Zhang, Hanqing Zeng, Viktor Prasanna (2020). Accelerating large scale GCN inference on FPGA. IEEE/FCCM (poster).

Cite DOI

Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (2020). GraphSAINT: Graph sampling based inductive learning method. ICLR.

PDF Cite Code Slides

Hanqing Zeng, Viktor Prasanna (2020). GraphACT: Accelerating GCN training on CPU-FPGA heterogeneous platforms. ACM/FPGA.

PDF Cite DOI

Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor Prasanna (2019). SPEC2: Spectral sparse CNN accelerator on FPGAs. IEEE/HiPC.

Cite DOI

Rachit Rajat, Hanqing Zeng, Viktor Prasanna (2019). A flexible design automation tool for accelerating quantized spectral CNNs. IEEE/FPL.

Cite DOI

Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna (2019). Accurate, efficient and scalable graph embedding. IEEE/IPDPS.

PDF Cite DOI

Weiyi Sun, Hanqing Zeng, Yi-hua Edward Yang, Viktor Prasanna (2018). Throughput-optimized frequency domain CNN with fixed-point quantization on FPGA. IEEE/ReConFig.

Cite DOI

Qing Dong, Kartik Lakhotia, Hanqing Zeng, Rajgopal Karman, Viktor Prasanna, Guna Seetharaman (2018). A fast and efficient parallel algorithm for pruned landmark labeling. IEEE/HPEC.

Cite DOI

Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K Prasanna (2018). An FPGA framework for edge-centric graph processing. ACM/CF.

Cite DOI

Hanqing Zeng, Ren Chen, Chi Zhang, Viktor Prasanna (2018). A framework for generating high throughput CNN implementations on FPGAs. ACM/FPGA.

Cite DOI

Hanqing Zeng, Chi Zhang, Viktor Prasanna (2017). Fast generation of high throughput customized deep learning accelerators on FPGAs. IEEE/ReConFig.

Cite DOI

Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor Prasanna, David Bader (2017). Quickly finding a truss in a haystack. IEEE/HPEC.

Cite DOI

Shijie Zhou, Kartik Lakhotia, Shreyas G Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor K Prasanna, James Fox, Euna Kim, Oded Green, David A Bader (2017). Design and implementation of parallel PageRank on multicore platforms. IEEE/HPEC.

Cite DOI