Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
Posts
First post of my blog
Published:
First post of my blog :D
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
The performance optimization on TensorFlow framework on Mobile GPU devices using OpenCL
Published in NA, 2018
This paper is about my final year project in HKU. This paper explores the difficulties and possibilities of running TensorFlow training program on mobile GPU.
Download here
An Efficient Implementation of Convolutional Neural Network With CLIP-Q Quantization on FPGA
Published in IEEE Transactions on Circuits and Systems I: Regular Papers, 2022
This paper is about a hardware-software codesigned CNN accelerator based on the CLIP-Q network quantization algorithm.
Download here
GraphRC: Accelerating Graph Processing on Dual-addressing Memory with Vertex Merging
Published in IEEE/ACM International Conference on Computer-Aided Design (ICCAD’22), 2022
This paper is about a graph processing accelerator designed for RC-NVM (a dual-addressing memory based on crossbar architecture).
Download here
SPEAR: Software-defined Python-EnhAnced RFSoC for Wideband Radio Applications
Published in ACM MobiCom’24 Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization (WiNTECH’24), 2024
SPEAR is an SDR platform based on the Xilinx RFSoC ZCU216 evaluation board capable of supporting real-time streaming of signals with a bandwidth of up to 1.25 GHz employing the direct RF radio architecture.
Download here
Real-time Wideband Software-defined Radio with Python Programmability based on RFSoC
Published in ACM MobiCom’24, 2024
Real-time Wideband Software-defined Radio with Python Programmability based on RFSoC
Download here
talks
teaching
TA for Computer Organization in NCKU
Undergraduate course, NCKU, CSIE Department, 2021
TA for Deep Learning IC Design in NCKU
Graduate course, NCKU, CSIE Department, 2021
TA for AI Accelerator Course taught by Prof. H. T. Kung in NCKU
Short Course (Reserved for teachers and graduate students), NCKU, EEE Department, 2022