Institute for Theoretical Solid State Physics, — RWTH Aachen University. Contact: Prof. Dr. C. Honerkamp
Research on HPC algorithms within the functional Renormalization Group (fRG) framework. Spearheading the transistion of the fRG community into the HPC realm. Development of an adaptive integration scheme — PAID — for the use in fRG codes.
Modelling and Simulation of Materials in Energy Technology (IEK-13) — Forschungszentrum Jülich. Contact: Dr. P. Kowalski
Research based on the application of Machine Learning techniques to investigate physical and chemical properties of functional materials used in Energy Applications.
Quantum Theory of Materials (PGI-1) — Forschungszentrum Jülich. Contact: Prof. Dr. S. Blügel
Improvement of the performance of juDFT codes such as development of specialized eigensolvers, efficient setup of Hamiltonian and overlap matrix, and convergence acceleration of self-consistent field methods.
Lehrstuhl für Theoretische Festkörperphysik — Ludwig-Maximilians-Universität München. Contact: Prof. Dr. J. von Delft
HPC algorithms for frequency based functional Renormalization Group code.
International groups and institutions
High-Performance and Automatic Computing (HPAC) — Umea University. Contact: Prof. P. Bientinesi Ph.D.
Research on HPC and high-performance algorithms. Further ongoing collaboration areas include high-performance tensor operations.
Schleife group — Department of Materials Science and Engineering University of Illinois at Urbana-Champaign. Contact: Prof. Dr. A. Schleife
Integration of ChASE eigensolver in simulation software based on the Bethe-Salpeter Equation.
Department of Mathematics — University of Zagreb. Contact: Prof. Dr. S. Singer
Research on innovative algorithms for the initialization and solution of generalized Hermitian eigenvalue problems based on SVD.
Kobe University. Contact: Prof. T. Ono.
Research on real-space grid based DFT methods for large-scale calculations.
Ruder Boskovic Institute — Zagreb, Croatia. Contact: D. Davidovic, PhD
HPC optimizations of linear algebra computations on GPUs.
Texas Advanced Computing Center (TACC) — The University of Texas at Austin. Contact: V. Eijkhout, PhD
Performance prediction of Linear System Solvers through Machine Learning methods