no code implementations • 11 Mar 2021 • Junji Fujimoto, Florian Lange, Satoshi Ejima, Tomonori Shirakawa, Holger Fehske, Seiji Yunoki, Sadamichi Maekawa
Using response theory, we calculate the charge-current vortex generated by spin pumping at a point-like contact in a system with Rashba spin-orbit coupling.
Mesoscale and Nanoscale Physics
no code implementations • 7 Jan 2021 • Satoshi Ejima, Florian Lange, Holger Fehske
Utilizing the unbiased time-dependent density-matrix renormalization group technique, we examine the photoemission spectra in the extended Falicov-Kimball model at zero and finite temperatures, particularly with regard to the excitonic insulator state most likely observed in the quasi-one-dimensional material Ta$_2$NiSe$_5$.
Strongly Correlated Electrons
1 code implementation • 15 Jul 2019 • Christie L. Alappat, Georg Hager, Olaf Schenk, Jonas Thies, Achim Basermann, Alan R. Bishop, Holger Fehske, Gerhard Wellein
The symmetric sparse matrix-vector multiplication (SymmSpMV) is an important building block for many numerical linear algebra kernel operations or graph traversal applications.
Distributed, Parallel, and Cluster Computing Performance
1 code implementation • 29 Jul 2015 • Moritz Kreutzer, Jonas Thies, Melven Röhrig-Zöllner, Andreas Pieper, Faisal Shahzad, Martin Galgon, Achim Basermann, Holger Fehske, Georg Hager, Gerhard Wellein
Today, such resources are available as multicore processors, graphics processing units (GPUs), and other accelerators such as the Intel Xeon Phi.
Distributed, Parallel, and Cluster Computing Mathematical Software
1 code implementation • 23 Jul 2013 • Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop
We discuss the advantages of SELL-C-sigma compared to established formats like Compressed Row Storage (CRS) and ELLPACK and show its suitability on a variety of hardware platforms (Intel Sandy Bridge, Intel Xeon Phi and Nvidia Tesla K20) for a wide range of test matrices from different application areas.
Mathematical Software Distributed, Parallel, and Cluster Computing
1 code implementation • 25 Apr 2005 • Alexander Weisse, Gerhard Wellein, Andreas Alvermann, Holger Fehske
Efficient and stable algorithms for the calculation of spectral quantities and correlation functions are some of the key tools in computational condensed matter physics.
Other Condensed Matter Computational Physics