Zhenlin Wu
Zhenlin Wu

Zhenlin Wu 吴震霖

GPU Architecture Researcher

MetaX · AI Research Institute (光启智能研究院)

I am joining MetaX as a GPU Architecture Researcher at the AI Research Institute. I received my Ph.D. in Microelectronics from HKUST (Guangzhou), my M.S. in Fundamental Mathematics from Capital Normal University, and my B.S. in Information and Computing Science from Beijing Jiaotong University.

My research centers on software systems for high-performance heterogeneous computing across the full stack, including programming systems, compilers, runtimes, libraries, and application-level optimization. I develop efficient and scalable GPU solutions for data-intensive and irregular workloads.

Publications

Education

2022—2026

Ph.D. in Microelectronics

HKUST (Guangzhou)

GPA 3.85/4.0 · High-performance computing, GPU systems, graph computing

2010—2014

B.S. in Information & Computing Science

Beijing Jiaotong University

GPA 3.56/4.0 · Computational mathematics and graph theory

Experience

Jun. 2021—May. 2022

Senior R&D Engineer

Baidu · Paddle-Lite

Optimized GPU operators and contributed to framework design for a mobile deep-learning inference engine.

Jul. 2020—Jun. 2021

Software Engineer

Huawei Suzhou Research Institute

Built and optimized video codecs, CUDA/VIC image processing, composition, and OSD pipelines.

Mar. 2019—Dec. 2019

Heterogeneous Computing Engineer

Minieye

Developed GPU operators for the miniDNN inference framework with C++ and OpenCL.

Academic Service

Teaching Experience

Fall 2023

MICS6000J: GPU Architectures and Programming

HKUST (Guangzhou)

Teaching Assistant

Spring 2018

EECE2650: Logic Design

University of Massachusetts Lowell

Teaching Assistant