李艺海

研究 · 计算 · 工程

李艺海.

高性能计算 & 科学机器学习

你好!我专注于并行与分布式计算、GPU加速以及物理信息PDE求解器。曾在都柏林圣三一大学担任工程数学与离散数学的助教。

开放博士与合作机会

经历

这些年做过与交付过的事情。

科研经历

Researcher @ Supervised by Prof. Pavlos Protopapas

Jan. 2021 — Mar. 2021 • Remote Project
  • Acquired algorithms of machine learning specifically in CNNs accelerated by CUDA.
  • Built Proxy model for CNNs’ evaluation based on Bootstrap algorithm in Python using Tensorflow 2.x.
  • Utilized of Grad-CAM Map, Saliency Map to check the internal learning process in Python and Matlab.
  • Drafted and typeset a comprehensive final report in Latex, including detailed performance graphs.

Undergraduate Researcher @ Shanxi University

Nov. 2017 — Nov. 2018 • Taiyuan, China
  • Authored 1-Good-Neighbor Diagnosability of Unidirectional K-ary N-Cubes under the PMC Model in Computer Engineering and Applications.
  • Employed combinatorial proof techniques using mathematical induction and constructive labeling to derive the diagnosability bound for K-ary N-Cubes.
  • Coordinated a 5-member team over a year, producing one journal submission on schedule.
  • Cultivated advanced skills in formal proof techniques, MATLAB coding, and team project management.
  • Formally derived 1-good-neighbor diagnosability bound k(n1)k(n-1), and kn1kn-1.

实习经历

Software Engineer Intern @ Oracle

Winter 2018 • Peking, China
  • Assembled X-shell client to control Ubuntu server remotely.
  • Configured and managed encrypted Hadoop clusters on Ubuntu servers via X-shell for data processing.
  • Setup Hadoop files system on Apache to optimize cluster performance and security.

领导力与教学

Teaching Assistant @ TCD

2024 — 2024 • Dublin, Ireland
  • Led lab sessions for C++ and parallel programming; designed reproducible HPC exercises.

Teaching Assistant @ Oracle

Winter 2018 • Peking, China
  • Supported instructors in course delivery and provided guidance to students during big data training sessions.

精选项目

部分代表作与工作样例。

混合 MPI/OpenMP 的 CFD 求解器

基于多重网格的 Navier–Stokes 求解器,优化 Halo 交换;在 256 个进程上实现强扩展。

C++20MPIOpenMPMultigrid
项目概览
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联系我

我会阅读每一封来信。

让想法成为下一次合作的起点。

欢迎交流科研、工作机会,以及关于计算的想法。

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