- Parallel and High Performance Computing for Time Series Big Data Processing. Master thesis, 2024 more…
- Scalable Kernel Matrix Inversion using Hierarchical Low-Rank Approximations. Bachelor thesis, 2024 more…
- Parallel-in-Time Integration with preCICE. Bachelor thesis, 2024 more…
- Efficient and Scalable Linear Solver for Kernel Matrix Approximations Using Hierarchical Decomposition. Bachelor thesis, 2023 more…
Keerthi Gaddameedi, M.Sc.
Technische Universität München
TUM School of CIT
Department of Computer Science
Boltzmannstrasse 3
85748 Garching
Germany
Office: MI 02.05.060
Tel: +49-89-289-18600
Mail: keerthi.gaddameedi (at) tum.de
Office Hours: by arrangement
Background
- Bachelors in Computer Science and Engineering, JNTU Hyderabad, India
- Masters in Informatics, TUM
- Currently a PhD Candidate, TUM
Open student Projects
If you are interested in the above topics and interested in doing a Thesis/HiWi/IDP/Guided research, write me an email with your transcripts and a CV.
I will then try to find out what topic might be suitable to you.
Student Theses
Publications
Posters
Talks and presentations
- Dynamic HPC resources for PinT: Algorithmic perspective. Parallel in time workshop 2024, 2024 more…
Research interests
- High Performance Computing
- Software Engineering
- Parallel-in-time methods
- Parallel Programming
- Numerics
Currently teaching
Summer term 25
Previous teaching
Winter term 22/23
Summer term 23
Winter term 23/24
- Numerical Algorithms for High Performance Computing (IN2398)
- Master Practical Course - Scientific Computing - High-Performance Computing (IN2106, IN4230)
- Scientists and Ethics (IN901002)