Markus Höhnerbach

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 14

Top Topics

Maximum Entropy

Top Venues

J. Comput. Chem.

Publications

Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. CoRR (2023)
Harun Bayraktar, Ali Charara, David Clark, Saul Cohen, Timothy B. Costa, Yao-Lung L. Fang, Yang Gao, Jack Guan, John A. Gunnels, Azzam Haidar, Andreas Hehn, Markus Höhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. QCE (2023)
Markus Höhnerbach, Paolo Bientinesi
Accelerating AIREBO: Navigating the Journey from Legacy to High-Performance Code. J. Comput. Chem. 40 (14) (2019)
Markus Höhnerbach, Paolo Bientinesi
Optimizing AIREBO: Navigating the Journey from Complex Legacy Code to High Performance. CoRR (2018)
Davor Davidovic, Diego Fabregat-Traver, Markus Höhnerbach, Edoardo Di Napoli
Accelerating the computation of FLAPW methods on heterogeneous architectures. Concurr. Comput. Pract. Exp. 30 (24) (2018)
Davor Davidovic, Diego Fabregat-Traver, Markus Höhnerbach, Edoardo Di Napoli
Accelerating the computation of FLAPW methods on heterogeneous architectures. CoRR (2017)
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi. CoRR (2017)
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi. ISC (2017)
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
The Tersoff many-body potential: Sustainable performance through vectorization. CoRR (2017)
Olaf Krzikalla, Florian Wende, Markus Höhnerbach
Dynamic SIMD Vector Lane Scheduling. ISC Workshops (2016)
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
The Vectorization of the Tersoff Multi-Body Potential: An Exercise in Performance Portability. CoRR (2016)
Diego Fabregat-Traver, Davor Davidovic, Markus Höhnerbach, Edoardo Di Napoli
Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methods. CoRR (2016)
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
The vectorization of the tersoff multi-body potential: an exercise in performance portability. SC (2016)
Diego Fabregat-Traver, Davor Davidovic, Markus Höhnerbach, Edoardo Di Napoli
Hybrid CPU-GPU Generation of the Hamiltonian and Overlap Matrices in FLAPW Methods. JHPCS (2016)
Christoph Beierle, Markus Höhnerbach, Marcus Marto
Implementation of a Transformation System for Relational Probabilistic Knowledge Bases Simplifying the Maximum Entropy Model Computation. FLAIRS Conference (2014)
Christoph Beierle, Markus Höhnerbach, Marcus Marto
Generation of Parametrically Uniform Knowledge Bases in a Relational Probabilistic Logic with Maximum Entropy Semantics. PRUV (2014)