Hai D. Pham

AI Research Intern at VinAI Research.

Hi! I am an AI Research Intern at VinAI Research, advised by Dr. Nguyen Ho Man Rang and Dr. Nguyen Duc Minh Khoi. I’m also currently pursuing B.E. degree in Computer Engineering at the Ho Chi Minh City University of Technology, Vietnam.

I am currently tackling joint semantic and occupancy estimation for autonomous vehicles.

This is my CV.

selected publications

An FPGA-Based Solution for Convolution Operation Acceleration

Trung Pham-Dinh, Bao Bach-Gia, Lam Luu-Trinh, and 5 more authors

In Intelligence of Things: Technologies and Applications , 2022

Abs

Hardware-based acceleration is an extensive attempt to facilitate many computationally-intensive mathematics operations. This paper proposes an FPGA-based architecture to accelerate the convolution operation - a complex and expensive computing step that appears in many Convolutional Neural Network models. We target the design to the standard convolution operation, intending to launch the product as an edge-AI solution. The project’s purpose is to produce an FPGA IP core that can process a convolutional layer at a time. System developers can deploy the IP core with various FPGA families by using Verilog HDL as the primary design language for the architecture. The experimental results show that our single computing core synthesized on a simple edge computing FPGA board can offer 0.224 GOPS. When the board is fully utilized, 4.48 GOPS can be achieved.