Andreas Salzburger

According to our database, Andreas Salzburger authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Combined track finding with GNN & CKF.

Lukas Heinrich, Benjamin Huth, Andreas Salzburger, Tilo Wettig

CoRR, 2024

Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays.

Stephen Nicholas Swatman, Ana Lucia Varbanescu, Andy D. Pimentel, Andreas Salzburger, Attila Krasznahorkay

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

2023

The Tracking Machine Learning Challenge: Throughput Phase.

Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant

Comput. Softw. Big Sci., December, 2023

Finding Morton-Like Layouts for Multi-Dimensional Arrays Using Evolutionary Algorithms.

Stephen Nicholas Swatman, Ana Lucia Varbanescu, Andy D. Pimentel, Andreas Salzburger, Attila Krasznahorkay

CoRR, 2023

Systematically Exploring High-Performance Representations of Vector Fields Through Compile-Time Composition.

Stephen Nicholas Swatman, Ana Lucia Varbanescu, Andy D. Pimentel, Andreas Salzburger, Attila Krasznahorkay

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Vecpar - A Framework for Portability and Parallelization.

Georgiana Mania, Nicholas Styles, Michael Kuhn, Andreas Salzburger, Beomki Yeo, Thomas Ludwig

Proceedings of the Computational Science - ICCS 2023, 2023

2022

A Common Tracking Software Project.

Xiaocong Ai, Corentin Allaire, Noemi Calace, Angéla Czirkos, Markus Elsing, Irina Ene, Ralf Farkas, Louis-Guillaume Gagnon, Rocky Garg, Paul Gessinger, Hadrien Grasland, Heather M. Gray, Christian Gumpert, Julia Hrdinka, Benjamin Huth, Moritz Kiehn, Fabian Klimpel, Bernadette Kolbinger, Attila Krasznahorkay, Robert Langenberg, Charles Leggett, Georgiana Mania, Edward Moyse, Joana Niermann, Joseph D. Osborn, David Rousseau, Andreas Salzburger, Bastian Schlag, Lauren Tompkins, Tomohiro Yamazaki, Beomki Yeo, Jin Zhang

Comput. Softw. Big Sci., December, 2022

2021

Machine learning for surface prediction in ACTS.

Benjamin Huth, Andreas Salzburger, Tilo Wettig

CoRR, 2021

Hashing and metric learning for charged particle tracking.

Sabrina Amrouche, Moritz Kiehn, Tobias Golling, Andreas Salzburger

CoRR, 2021

2019

Similarity hashing for charged particle tracking.

Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Claudia Plant, Andreas Salzburger

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

TrackML Throughput Phase.

Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Laurent Basara, Victor Estrade, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Mikhail Hushchyn, Andrey Ustyuzhanin, Edward Moyse, Cécile Germain, Isabelle Guyon

Dataset, September, 2018

TrackML Particle Tracking Challenge.

Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Victor Estrade, Laurent Basara, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Andrey Ustyuzhanin, Mikhail Hushchyn, Edward Moyse, Cécile Germain, Isabelle Guyon

Dataset, August, 2018

TrackML: A High Energy Physics Particle Tracking Challenge.

Paolo Calafiura, Steven Farrell, Heather M. Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin

Proceedings of the 14th IEEE International Conference on e-Science, 2018