Research Areas
AI Acceleration
FPGA-based HW Accelerator
High-Level Synthesis Design
DNN Inference Optimization
SW-HW Co-optimization for AI
Technical Skills
Python, PyTorch, C or C++, Verilog
Xilinx FPGA Implementation
Pre-requisites: 딥러닝기초, 인공지능, 논리회로, 컴퓨터구조, 인공지능하드웨어, 인공지능하드웨어 가속기설계
Efficient Model Optimization
Transformer Architecture Search
Quantizaton (QAT, PTQ)
Pruning Techniques
Efficient Deep Learning Variants
Technical Skills
Python, PyTorch
Pre-requisites: 딥러닝기초, 인공지능, 컴퓨터구조, 엣지컴퓨팅, 인공지능하드웨어, 인공지능최신기술
Automation for AI Model/HW
RL-based Automation Framework for Quantization/Pruning
AI-designed HW Accelerator
Technical Skills
Python, PyTorch, C or C++
Pre-requisites: 딥러닝기초, 인공지능, 강화학습, 컴퓨터구조, 인공지능하드웨어, 인공지능하드웨어 가속기 설계, 인공지능최신기술