INTRODUCTION
Hongshi TAN currently is a Ph.D. student at the School of Computing, National University of Singapore, supervised by Prof. Bingsheng He and Prof. Weng-Fai Wong. He was an embedded system engineer at Dept. of Flight Control, DJI and has proficient experiences on architectural design and implementation for FPGA-CPU heterogeneous systems. He led the embedded system team for developing the world first digital beamforming (DBF) frequency modulated continuous wave radar on agricultural drones. He was also interested in solving the real problems on system security area including firmware anti-hack and communication protection. The global navigation satellite system (GNSS) information signature scheme developed by him is the most critical component for flight safety and has been adopted in millions of DJI drones around the world.
His research interests include high performance computing with special emphasis on FPGA-based heterogeneous systems for graph processing and graph representation learning. He is responsible for the Heterogeneous Accelerated Compute Cluster at NUS (HACC) under AMD University Program.
RECENT NEWS
- Jun 2023: Invited to be SIGMOD ARI reviewer.
- Dec 2022: Invited to give a tutorial on FPT 2022.
- Nov 2022: One paper is accepted by SIGMOD 2023.
- Jul 2022: One paper is accepted by MICRO 2022.
- Feb 2022: One invited paper is accepted by ACM TRETS.
- Jan 2022: Invited to present in Xilinx China Winter Camp, 2022 (hosted by CCF Architecture Committee).
- Dec 2021: Received XACC Outstanding Contributor Award from Xilinx.
- Jul 2021: Invited to present in Xilinx Adaptive Compute Clusters (XACC) Technique Talk, 2021.
- May 2021: One paper is accepted to ICS 2021.
- Feb 2021: One paper is accepted to DAC 2021.
- Nov 2020: One paper is accepted to FPGA 2021.
- Dec 2018: One DBF imaging radar on T16 with his major contributions is released.
- Dec 2017: One FMCW radar on MG-1P/A with his major contributions is released.
- Dec 2016: One microsatellite, TanSat, with his contributions is launched.
- Sep 2016: He enables AGNSS and GNSS information signature for Mavic Pro and its successors.
EDUCATION
- Ph.D. Student in Computer Science
- Master's Degree in Computer Science (Master of Computing)
- Research Assistant in Department of Computer Science
- Bachelor's Degree in Thermal Energy and Power Engineering
- Thesis: Analysis of Blade Motion Flow Field on Quad Rotor Drones Using OpenFOAM
WORK EXPERIENCE
- Internship in Large-scale Graph Neural Network System
- Filght Control Embedded System Engineer (Top Five Ranked)
- Leader of Radar Embedded System Team
- Internship in Satellite Embedded System
INTERESTS
POSTS
Towards a Better 16-bit Number Representation for Training Neural Networks
Abstract Error resilience in neural networks has allowed for the adoption of low-precision floating-point representations for mixed-precision training to improve efficiency. Although the IEEE 754 standard had long defined a...
LightRW: FPGA Accelerated Graph Dynamic Random Walks
Abstract Graph dynamic random walks (GDRWs) have recently emerged as a powerful paradigm for graph analytics and learning applications, including graph embedding and graph neural networks. Despite the fact that...
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
Abstract The use of FPGAs for efficient graph processing has attracted significant interest. Recent memory subsystem upgrades including the introduction of HBM in FPGAs promise to further alleviate memory bottlenecks....
ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS
Abstract FPGA has been an emerging computing infrastructure in datacenters benefiting from fine-grained parallelism, energy efficiency, and reconfigurability. Meanwhile, graph processing has attracted tremendous interest in data analytics, and its...
Tufting Gun
What is Tufting? Tufting is a type of textile weaving technique where a thread is inserted through a fabric and then pulled back up to create a loop. This process...