Axel Huebl
Orcid: 0000-0003-1943-7141Affiliations:
- Lawrence Berkeley National Laboratory, CA, USA
According to our database1,
Axel Huebl
authored at least 24 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Synthesizing Particle-In-Cell Simulations through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2024
2023
EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations.
Comput. Phys. Commun., October, 2023
A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability.
CoRR, 2023
CoRR, 2023
Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms.
CoRR, 2023
From Compact Plasma Particle Sources to Advanced Accelerators with Modeling at Exascale.
CoRR, 2023
Proceedings of the International Conference for High Performance Computing, 2023
Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023
2022
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst., 2022
Comput. Phys. Commun., 2022
Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale.
CoRR, 2022
Pushing the Frontier in the Design of Laser-Based Electron Accelerators with Groundbreaking Mesh-Refined Particle-In-Cell Simulations on Exascale-Class Supercomputers.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
2021
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021
2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020
2017
Tuning and Optimization for a Variety of Many-Core Architectures Without Changing a Single Line of Implementation Code Using the Alpaka Library.
Proceedings of the High Performance Computing, 2017
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective.
Proceedings of the High Performance Computing, 2017
2016
In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC.
Supercomput. Front. Innov., 2016
Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond.
Proceedings of the High Performance Computing, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
2013
Proceedings of the International Conference for High Performance Computing, 2013