Markus Höhnerbach

18 papers A 2C 1Misc 2Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE.
HPDC
Jesun Sahariar Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Höhnerbach, Tingyu Wang, Dejun Lin, Emine Küçükbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Christopher J. Mundy, Gábor Csányi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury
2023 Misc conf
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science.
QCE
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
2023 J jnl
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science.
CoRR
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
2020 — —
A framework for the vectorization of molecular dynamics kernels.
Markus Höhnerbach
2019 J jnl
Accelerating AIREBO: Navigating the Journey from Legacy to High-Performance Code.
J. Comput. Chem.
Markus Höhnerbach, Paolo Bientinesi
2018 J jnl
Accelerating the computation of FLAPW methods on heterogeneous architectures.
Concurr. Comput. Pract. Exp.
Davor Davidovic, Diego Fabregat-Traver, Markus Höhnerbach, Edoardo Di Napoli
2018 J jnl
Optimizing AIREBO: Navigating the Journey from Complex Legacy Code to High Performance.
CoRR
Markus Höhnerbach, Paolo Bientinesi
2017 J jnl
Accelerating the computation of FLAPW methods on heterogeneous architectures.
CoRR
Davor Davidovic, Diego Fabregat-Traver, Markus Höhnerbach, Edoardo Di Napoli
2017 C conf
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi.
ISC
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
2017 J jnl
LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi.
CoRR
William McDoniel, Markus Höhnerbach, Rodrigo Canales, Ahmed E. Ismail, Paolo Bientinesi
2017 J jnl
The Tersoff many-body potential: Sustainable performance through vectorization.
CoRR
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
2016 — conf
Dynamic SIMD Vector Lane Scheduling.
ISC Workshops
Olaf Krzikalla, Florian Wende, Markus Höhnerbach
2016 — conf
Hybrid CPU-GPU Generation of the Hamiltonian and Overlap Matrices in FLAPW Methods.
JHPCS
Diego Fabregat-Traver, Davor Davidovic, Markus Höhnerbach, Edoardo Di Napoli
2016 J jnl
Hybrid CPU-GPU generation of the Hamiltonian and Overlap matrices in FLAPW methods.
CoRR
Diego Fabregat-Traver, Davor Davidovic, Markus Höhnerbach, Edoardo Di Napoli
2016 J jnl
The Vectorization of the Tersoff Multi-Body Potential: An Exercise in Performance Portability.
CoRR
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
2016 A conf
The vectorization of the tersoff multi-body potential: an exercise in performance portability.
SC
Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi
2014 — conf
Generation of Parametrically Uniform Knowledge Bases in a Relational Probabilistic Logic with Maximum Entropy Semantics.
PRUV
Christoph Beierle, Markus Höhnerbach, Marcus Marto
2014 Misc conf
Implementation of a Transformation System for Relational Probabilistic Knowledge Bases Simplifying the Maximum Entropy Model Computation.
FLAIRS
Christoph Beierle, Markus Höhnerbach, Marcus Marto