Search Results for author: Holger Fehske

Found 6 papers, 4 papers with code

Spin-charge conversion and current vortex in spin-orbit coupled systems

no code implementations11 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

Finite-temperature photoemission in the extended Falicov-Kimball model: a case study for Ta$_2$NiSe$_5$

no code implementations7 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

A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication

1 code implementation15 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

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

1 code implementation29 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

A unified sparse matrix data format for efficient general sparse matrix-vector multiply on modern processors with wide SIMD units

1 code implementation23 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

The Kernel Polynomial Method

1 code implementation25 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

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