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D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
8740
World Ranking
6847
National Ranking
228

Overview

Gerhard Wellein is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the field of Computer Science, with a specialized focus on several subfields including Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Computational Mechanics, and Molecular Biology.

Their academic output emphasizes topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies, Interconnection Networks and Systems, Distributed and Parallel Computing Systems, Matrix Theory and Algorithms, Lattice Boltzmann Simulation Studies, and Low-power High-performance VLSI Design.

Frequent co-authors collaborating with Gerhard Wellein include:

  • Georg Hager
  • Ayesha Afzal
  • Christie Louis Alappat
  • Jan Laukemann
  • Thomas Gruber

Gerhard Wellein has published extensively in various venues. Notable publication venues with multiple contributions include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The International Journal of High Performance Computing Applications
  • Concurrency and Computation Practice and Experience
  • IEEE Transactions on Parallel and Distributed Systems

Selected recent papers by Gerhard Wellein include:

  • A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication, 2020, ACM Transactions on Parallel Computing
  • Execution-Cache-Memory modeling and performance tuning of sparse matrix-vector multiplication and Lattice quantum chromodynamics on A64FX, 2021, Concurrency and Computation Practice and Experience
  • Valley filtering in strain-induced α−T3 quantum dots, 2021, Physical Review B
  • Level-Based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication, 2022, IEEE Transactions on Parallel and Distributed Systems
  • Performance engineering for real and complex tall & skinny matrix multiplication kernels on GPUs, 2020, The International Journal of High Performance Computing Applications

Best Publications

  • The kernel polynomial method

    Alexander Weiße;Gerhard Wellein;Andreas Alvermann;Holger Fehske

  • LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments

    Jan Treibig;Georg Hager;Gerhard Wellein

  • Introduction to High Performance Computing for Scientists and Engineers

    Georg Hager;Gerhard Wellein

  • LIKWID: Lightweight Performance Tools

    Jan Treibig;Georg Hager;Gerhard Wellein

  • A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units

    Moritz Kreutzer;Georg Hager;Gerhard Wellein;Holger Fehske

  • On the single processor performance of simple lattice Boltzmann kernels

    G. Wellein;T. Zeiser;G. Hager;S. Donath

  • Polarons and bipolarons in strongly interacting electron-phonon systems

    G. Wellein;H. Röder;H. Fehske

  • Polaron band formation in the Holstein model

    G. Wellein;H. Fehske

  • Efficient Temporal Blocking for Stencil Computations by Multicore-Aware Wavefront Parallelization

    Gerhard Wellein;Georg Hager;Thomas Zeiser;Markus Wittmann

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

    Moritz Kreutzer;Georg Hager;Gerhard Wellein;Holger Fehske

  • Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures

    Thomas Pohl;Frank Deserno;Nils Thurey;Ulrich Rude

  • Quantifying Performance Bottlenecks of Stencil Computations Using the Execution-Cache-Memory Model

    Holger Stengel;Jan Treibig;Georg Hager;Gerhard Wellein

  • Exploring performance and power properties of modern multi-core chips via simple machine models

    Georg Hager;Jan Treibig;Johannes Habich;Gerhard Wellein

  • Comparison of different propagation steps for lattice Boltzmann methods

    Markus Wittmann;Thomas Zeiser;Georg Hager;Gerhard Wellein

  • Self-trapping problem of electrons or excitons in one dimension

    G. Wellein;H. Fehske

  • Lattice polaron formation: Effects of nonscreened electron-phonon interaction

    H. Fehske;J. Loos;G. Wellein

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

    Christie L. Alappat;Georg Hager;Olaf Schenk;Jonas Thies

  • Stripe formation in doped Hubbard ladders

    G. Hager;G. Wellein;E. Jeckelmann;H. Fehske

  • MULTICORE-OPTIMIZED WAVEFRONT DIAMOND BLOCKING FOR OPTIMIZING STENCIL UPDATES ∗

    Tareq M. Malas;Georg Hager;Hatem Ltaief;Holger Stengel

  • Spectral properties of the 2D Holstein polaron

    H. Fehske;J. Loos;G. Wellein

  • Exploring performance and power properties of modern multicore chips via simple machine models

    Georg Hager;Jan Treibig;Johannes Habich;Gerhard Wellein

  • Optical absorption and single-particle excitations in the two-dimensional Holstein t-J model

    B. Bäuml;G. Wellein;H. Fehske

Frequent Co-Authors

Georg Hager
Georg Hager University of Erlangen-Nuremberg
Ulrich Rüde
Ulrich Rüde University of Erlangen-Nuremberg
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Olaf Schenk
Olaf Schenk Universita della Svizzera Italiana
Michael Breuer
Michael Breuer Helmut Schmidt University
Daniel S. Katz
Daniel S. Katz University of Illinois at Urbana-Champaign
Howard Jay Siegel
Howard Jay Siegel Colorado State University
Ramakrishnan Rajamony
Ramakrishnan Rajamony Goldman Sachs (United States)
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Britta Nestler
Britta Nestler Karlsruhe Institute of Technology

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