Hayden Liu Weng, M.Sc.
Technische Universität München
TUM School of CIT
Department of Computer Science
Boltzmannstrasse 3
85748 Garching
Germany
Office: MI 02.05.057
Mail: liuweng (at) cit.tum.de
Tel: +49-89-289-18630
Fax: +49-89-289-18607
Office Hours: by arrangement
Background
- Doctoral student at the Graduate Center CIT (formerly TUM Graduate School - CeDoSIA)
- Research Associate (Wissenschaftlicher Mitarbeiter) at TUM SCCS since September 2019
- M.Sc. in Computational Mechanics with Honors (BGCE), Technical University of Munich, 2019
- B.Sc. in Mechanical Engineering and B.Sc. in Mathematics, Universidad de los Andes, Colombia, 2015
- Minor in Education
Research Interests
- Numerical Linear Algebra
- Iterative Linear Solvers
- Preconditioning for large sparse systems
- Machine Learning
- HPC
- Optimization
Secretary of M.Sc. Computational Science and Engineering
Responsibilities:
- Processing of Master's theses
- Questions and advice concerning examination regulations
- Forwarding of requests to the examination board (incl. recognitions, prolongations, etc.)
- Note that these usually need to be approved/checked by the coordinators first!
Please email coordinators@cse.tum.de for queries regarding M.Sc. Computational Science and Engineering, rather than messaging me directly!
Open and running student projects
Topics change (frequently) with my ongoing work and depend mostly on the interests and experience of the student. It is best to contact me directly if you are interested in a thesis or student project.
See also the list of Student Projects at our chair.
Do you want to know what other students are working on in our chair? You are warmly encouraged to attend their presentations at the SCCS Colloquium! Come to get ideas, meet your potential supervisor, or to learn from the style of others for your own presentation.
Open student projects
- Exploration of influence of boundary conditions in linear solver convergence
- Comparative analysis of existing frameworks on modern architectures
- Hyperparameter tuning in solver selection pipeline
- Novel machine learning techniques applied to solver selection
Running student projects
- Hardware-dependence studies in linear solver performance
Finished Student Projects
Teaching
Winter semester 2024/25
Summer semester 2024
- B.Sc. High-Performance Computing seminar (Moodle)
- M.Sc. Modern Trends in HPC seminar (Moodle)
Winter semester 2023/24
Summer semester 2023
- Numerical Programming Übungsleitung (Moodle)
Winter semester 2022/23
Summer semester 2022
- Numerical Programming Übungsleitung (Moodle)
- Data Mining seminar (Moodle)
Winter semester 2021/22
- Numerical Programming Übungsleitung (Moodle)
- Scientific Computing Lab (Moodle)
Summer semester 2021
- Numerical Programming Übungsleitung (Moodle)
Winter semester 2020/21
- Numerical Programming Übungsleitung (Moodle)
- Scientific Computing Lab (Moodle)
Summer semester 2020
- Topics of Quantum Computing seminar coordination (Moodle)
Winter semester 2019/20
- Concepts of C++ programming tutorial (Moodle)
Publications
Talks
2024
- Advances in Data-Driven Solver Selection for Sparse Linear Matrices. SIAM Conference on Parallel Processing for Scientific Computing (PP24), 2024 more…
- Data-Driven Solver and Preconditioner Selection for Sparse Linear Matrices. International Conference On Preconditioning Techniques For Scientific and Industrial Applications, 2024 more…