Chenguang Zhang

Chenguang Zhang

Ph.D. Student

Peking University

Biography

I am a 3rd year Ph.D. student in Peking University. My research interests include Spatial acceleration, Autonomous Driving, electronic design automation, in-memory-computing, ReRAM based neural network accelerator and its reliability.

Interests
  • Spatial acceleration
  • Automomous Driving
  • AI-Assisted Design for Architecture
  • In-Memory-Computing
  • ReRAM Based Neural Network Accelerator and its Reliability
  • DNN Model Compression
  • AI-Assisted EDA
Education
  • Ph.D. in Computer Science, Current

    Peking University

  • M.Phil in Computer Science, 2021

    Shanghaitech University

  • Bachelor of Engineering in Electronic Engineering, 2016

    Tianjin University

Skills

Technical
Programming

C/C++, Python, MATLAB, LaTeX

Hardware Design

Verilog, HLS C++, Chisel

Simulator/Framework

Sniper, Gem5

CAD Tools

Synopsys Hspice, Cadence Virtuoso, Xilinx Vivado Design Suite, Intel/Altera Quartus Prime, Mentor ModelSim, Synopsys Design Compiler

Recent Publications

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(2021). A Quantized Training Framework for Robust and Accurate ReRAM-based Neural Network Accelerators. Proceedings of the 26th Asia and South Pacific Design Automation Conference.

Cite DOI URL

(2021). PTQ-SL: Exploring the Sub-layerwise Post-training Quantization.

Cite arXiv