publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. IPDPS
    Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation
    Bingyi Zhang, and Viktor Prasanna
    2023 International Parallel and Distributed Processing Symposium, 2023
    arXiv
  2. GEOProcessing
    Graph Neural Network for Accurate and Low-complexity SAR ATR
    Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, and 2 more authors
    2023
    arXiv
  3. TPDS
    GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
    Bingyi Zhang, Hanqing Zeng, and Viktor Prasanna
    IEEE Transactions on Parallel and Distributed Systems, 2023
    arXiv
  4. SPIE
    PAHD: perception-action based human decision making using explainable graph neural networks on SAR images
    Sasindu Wijeratne, Bingyi Zhang, Rajgopal Kannan, and 2 more authors
    In Automatic Target Recognition XXXIII, 2023
  5. SPIE
    Graph neural network based SAR automatic target recognition with human-in-the-loop
    Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan, and 2 more authors
    In Algorithms for Synthetic Aperture Radar Imagery XXX, 2023
  6. FPL
    Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration
    Paul Chen, Pavan Manjunath, Sasindu Wijeratne, and 2 more authors
    33rd International Conference on Field-Programmable Logic and Applications, 2023
    arXiv
  7. RADAR
    How can Human-in-the-loop Improve the Performance of SAR ATR? A Reinforcement Learning Based Approach
    Bingyi Zhang, Sasindu Wijeratne, Tian Ye, and 4 more authors
    In 2023 IEEE International Radar Conference (RADAR), 2023

2022

  1. FPGA
    HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform
    Yi-Chien Lin, Bingyi Zhang, and Viktor Prasanna
    In Proceedings of the 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2022
  2. IPDPS
    Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
    Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan, and 2 more authors
    In 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022
    arXiv
  3. HPEC
    Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA
    Sasindu Wijeratne, Akhilesh Jaiswal, Ajey P Jacob, and 2 more authors
    In 2022 IEEE High Performance Extreme Computing Conference (HPEC), 2022
  4. HiPC
    Low-latency mini-batch gnn inference on cpu-fpga heterogeneous platform
    Bingyi Zhang, Hanqing Zeng, and Viktor Prasanna
    arXiv preprint arXiv:2206.08536, 2022
  5. FPL
    Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA
    Bingyi Zhang, Rajgopal Kannan, Viktor Prasanna, and 1 more author
    arXiv preprint arXiv:2301.01454, 2022
    arXiv PDF
  6. ICFPT
    Hypersort: High-performance Parallel Sorting on HBM-enabled FPGA
    Soundarya Jayaraman, Bingyi Zhang, and Viktor Prasanna
    In 2022 International Conference on Field-Programmable Technology (ICFPT), 2022
  7. HPEC
    Modeling the Energy Efficiency of GEMM using Optical Random Access Memory
    Bingyi Zhang, Akhilesh Jaiswal, Clynn Mathew, and 4 more authors
    In 2022 IEEE High Performance Extreme Computing Conference (HPEC), 2022
  8. CARLA
    Accelerating GNN Training on CPU $+ $ Multi-FPGA Heterogeneous Platform
    Yi-Chien Lin, Bingyi Zhang, and Viktor Prasanna
    In Latin American High Performance Computing Conference, 2022

2021

  1. FCCM
    BoostGCN: A framework for optimizing GCN inference on FPGA
    Bingyi Zhang, Rajgopal Kannan, and Viktor Prasanna
    In 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2021
  2. HPEC
    GCN Inference Acceleration using High-Level Synthesis
    Yi Chien Lin, Bingyi Zhang, and Viktor Prasanna
    In 2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021
  3. HPEC
    Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform
    Bingyi Zhang, Sanmukh R Kuppannagari, Rajgopal Kannan, and 1 more author
    In 2021 IEEE High Performance Extreme Computing Conference (HPEC), 2021
    Code
  4. HiPC
    Performance of Local Push Algorithms for Personalized PageRank on Multi-core Platforms
    Madhav Aggarwal, Bingyi Zhang, and Viktor Prasanna
    In 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021

2020

  1. ASAP
    Hardware acceleration of large scale gcn inference
    Bingyi Zhang, Hanqing Zeng, and Viktor Prasanna
    In 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2020
    Code
  2. FCCM
    Accelerating large scale GCN inference on FPGA
    Bingyi Zhang, Hanqing Zeng, and Viktor Prasanna
    In 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2020

2019

  1. TCAS II
    A real-time and hardware-efficient processor for skeleton-based action recognition with lightweight convolutional neural network
    Bingyi Zhang, Jun Han, Zhize Huang, and 2 more authors
    IEEE Transactions on Circuits and Systems II: Express Briefs, 2019
  2. BioCAS
    A skeleton-based action recognition system for medical condition detection
    Jun Yin, Jun Han, Chenghao Wang, and 2 more authors
    In 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019

2018

  1. DSP
    MiniTracker: a lightweight CNN-based system for visual object tracking on embedded device
    Bingyi Zhang, Xin Li, Jun Han, and 1 more author
    In 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018