Martin Schreiber

Martin Schreiber is a Full Professor at Université Grenoble Alpes (France), focusing on interdisciplinary research at the intersection of High-Performance Computing (HPC) and Applied Mathematics. He is also affiliated with INRIA and the AIRSEA team. Previously, he held roles including Lecturer/Researcher at Technical University of Munich (2018–2021), Proleptic Lecturer at University of Exeter (2015–2018), and doctoral candidate at TUM under Prof. Bungartz (2010–2014). His research spans dynamically adaptive grids, parallel algorithms, GPU/FPGA architectures, and climate/weather simulations.

Education:

• 2010: Diploma in Computer Science (TUM, Germany)
• 2014: PhD in Scientific Computing (TUM, Germany)
• 2008–2010: Minor in Theoretical Medical Science (TUM)
• 2004–2010: Computer Science Studies (TUM)
• 2007: Semester at Hong Kong University of Science and Technology

Research Interests:

• Parallelization strategies for HPC architectures
• Dynamically adaptive grids using space-filling curves
• Real-time visualization and simulation
• Applications in weather, climate, and ocean modeling
• Algorithm development for scientific computing

His work emphasizes interdisciplinary collaboration to advance computational methods for complex scientific challenges.

Teaching & Labs:

• Current courses at Université Grenoble Alpes: C++, Partial Differential Equations, Numerical Methods
• Former courses: High-Performance Computing, Time Integration, Computer Architectures
• Led projects on GPU-based Lattice Boltzmann Methods and parallel-in-time algorithms

He is also part of the SWEET and Sierpinski software frameworks for weather/climate simulations.