Contact:
| Name | Dr. Matthias Maiterth |
|---|---|
| maiterth@acm.org | |
| Affiliation | NVIDIA |
orcid.org/0000-0001-8698-460X
dblp.uni-trier.de/pid/155/4993.html
linkedin.com/in/matthiasmaiterth/
github.com/maiterth/About
I am a Senior Deep Learning Performance Architect at NVIDIA.
Prior to joining NVIDIA, I worked as a research scientist and postdoctoral research associate at Oak Ridge National Laboratory (ORNL) and as academic research staff at Technische Universität München (TUM). I earned my doctoral degree in Computer Science from Ludwig-Maximilians-Universität München (LMU) in 2021. During my doctoral studies, I conducted research at Lawrence Livermore National Laboratory (LLNL) and the Leibniz Supercomputing Centre (LRZ), and held a three-year funded research position at Intel.
Research Topics
- High Performance Computing
- Energy and Power Efficiency
- Analytics and Artificial Intelligence for Computer System Operation
- System Software for HPC
- Scalable Performance Tools
- Exascale Computing
- Performance Engineering in HPC
- Scalability and portable performance
- Parallel Programming Models
- Tightly coupled Distributed Systems
- Digital Twins of High Performance Computers
Research Groups and Project Work
I actively participate (or have particiapted*) in the following research groups:
- Algorithms and Performance Analysis Group @ORNL
- ExaDigiT
- Analytics & AI Methods at Scale Group @ORNL*
- Chair of Computer Architecture and Parallel Systems @TUM*
- PowerStack
- geopm - Global Extensible Open Power Manager @Intel*
- CASC @LLNL*
- EE-HPC-WG
- MNM-Team @LMU*
For projects and research collaborations feel free to reach out.