Markus Hhnerbach
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2014–2025
Best venue rank
A
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | HPDC | Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. | Jesun Sahariar Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Hhnerbach, Tingyu Wang, Dejun Lin, Emine Kkbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Christopher J. Mundy, Gbor Csnyi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury |
| 2023 | QCE | cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science. | 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 Hhnerbach, Matthew Jones, Tom Lubowe, Dmitry I. Lyakh, Shinya Morino, Paul Springer, Sam Stanwyck, Igor Terentyev, Satya Varadhan, Jonathan Wong, Takuma Yamaguchi |
| 2016 | SC | The vectorization of the tersoff multi-body potential: an exercise in performance portability. | Markus Hhnerbach, Ahmed E. Ismail, Paolo Bientinesi |
| 2014 | CADE | Generation of Parametrically Uniform Knowledge Bases in a Relational Probabilistic Logic with Maximum Entropy Semantics. | Christoph Beierle, Markus Hhnerbach, Marcus Marto |
| 2014 | FlAIRS | Implementation of a Transformation System for Relational Probabilistic Knowledge Bases Simplifying the Maximum Entropy Model Computation. | Christoph Beierle, Markus Hhnerbach, Marcus Marto |