CV

Lingxiang Hu

  • 📱 +86-18540130750
  • ✉️ 735514368@qq.com

EDUCATION

Northeastern University (Shenyang, China)

  • M.Sc in Computer Science and Technology
    09.2022-Present
    • GPA: 3.91/5.0 (Top 15%)
    • Core courses: Optimization Methods and Theory, Distributed Database Systems, Parallel Programming and Advanced Technologies, Advanced Distributed Systems
  • B.Sc in Applied Physics
    09.2018-07.2022
    • GPA: 3.76/5.0 (Top 10%)
    • Core courses: Analog Electronic Technology, Digital Electronic Technology

INTERNSHIP EXPERIENCE

Technical Research Engineer Intern | Huawei Co. Ltd (Beijing)

07.2023-Present

  • Algorithm Development: Developed advanced multipath network algorithms for data centers, optimizing data routing.
  • Proficient in Programming: Skilled in Linux environments and adept at implementing complex algorithms using C/C++ and DPDK.
  • Efficient Validation with Bash Scripts: Efficiently validated algorithm effectiveness using bash test scripts.

RESEARCH EXPERIENCES

M.Sc Research Project | Enhancing Bluefield-2 DPU with Open-Source Code Implementation

03.2023-06.2023

  • Code Reproduction and Enhancement: Successfully reproduced and enhanced open-source code through analysis and comprehensive study.
  • CUDA Expertise: Profound understanding of CUDA's kernel operation model, including memory management, parallel computing, and computational scheduling.
  • Enhanced Bluefield-2 DPU Integration: Optimized the utilization of Bluefield-2 DPU's SFT index in conjunction with GPU's kernel computing unit, achieving the management of 10,000 streams and advanced feature extraction.

B.Sc Research Project | Efficient Traffic Control System with Nvidia BlueField-2

07.2022-03.2023

  • Research and Algorithm Design: Conducted research on the utilization of Nvidia BlueField-2 to offload Linux Traffic Control functionality, involving intricate algorithm design and experimental validation.
  • Efficient Traffic Scheduling Solution: Achieved significant cost reduction by offloading TC htb to DPU, enabling efficient traffic scheduling for 100GbE while saving two CPU cores compared to traditional Linux tc and other software solutions.
  • Embedded HW Platform Development: Developed substantial expertise in the development of embedded hardware platforms, contributing to advanced research and solutions.
  • Achievement: Summarized and participated in drafting a research paper (under processing) namely "FlowValve+: Multi-queue Packet Scheduling Framework on SoC-based SmartNICs"

AWARDS

  • Northeast University Graduate Student President's Scholarship, 2022
  • Honor Awards of The International Mathematical Contest in Modeling, 2020
  • 3rd Prize in National College Student Mathematics Competition, 2020

SKILLS

  • Languages: Fluent in English, Native in Chinese
  • Programming Languages and Frameworks: Professional in C/C++, DPDK, CUDA
  • Operating Systems and Scripting: Familiar with the Linux operating system, bash
  • Interpersonal Skills: High self-motivation, Leadership, Organization skills, Multi-tasking abilities, Time management.
  • Network Protocols: Proficient in L2/L3 networking protocols.