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Axel Huebl
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- affiliation: Lawrence Berkeley National Laboratory, CA, USA
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2020 – today
- 2024
- [j8]Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Roscoe A. Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia A. Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
A Cast of Thousands: How the IDEAS Productivity Project Has Advanced Software Productivity and Sustainability. Comput. Sci. Eng. 26(1): 48-60 (2024) - [j7]Hartwig Anzt, Axel Huebl, Xiaoye S. Li:
Then and Now: Improving Software Portability, Productivity, and 100× Performance. Comput. Sci. Eng. 26(1): 61-70 (2024) - [c13]Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis:
Enabling High- Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CLUSTER Workshops 2024: 86-95 - [c12]Ryan T. Sandberg, Rémi Lehe, Chad Mitchell, Marco Garten, Andrew Myers, Ji Qiang, Jean-Luc Vay, Axel Huebl:
Synthesizing Particle-In-Cell Simulations through Learning and GPU Computing for Hybrid Particle Accelerator Beamlines. PASC 2024: 23:1-23:11 - [i17]Andrew Myers, Weiqun Zhang, Ann S. Almgren, Thierry Antoun, John B. Bell, Axel Huebl, Alexander Sinn:
AMReX and pyAMReX: Looking Beyond ECP. CoRR abs/2403.12179 (2024) - [i16]Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao:
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization. CoRR abs/2407.04267 (2024) - [i15]Jeremy J. Williams, Daniel Medeiros, Stefan Costea, David Tskhakaya, Franz Poeschel, René Widera, Axel Huebl, Scott Klasky, Norbert Podhorszki, Leon Kos, Ales Podolnik, Jakub Hromadka, Tapish Narwal, Klaus Steiniger, Michael Bussmann, Erwin Laure, Stefano Markidis:
Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring. CoRR abs/2408.02869 (2024) - 2023
- [j6]Klaus Steiniger, René Widera, Sergey I. Bastrakov, Michael Bussmann, Sunita Chandrasekaran, Benjamín Hernández, Kristina Holsapple, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, Richard Pausch, David M. Rogers, Ulrich Schramm, Jeffrey Young, Alexander Debus:
EZ: An efficient, charge conserving current deposition algorithm for electromagnetic particle-in-cell simulations. Comput. Phys. Commun. 291: 108849 (2023) - [c11]Felix Meyer, Benjamín Hernández, Richard Pausch, René Widera, David Groß, Sergei I. Bastrakov, Axel Huebl, Guido Juckeland, Jeffrey Kelling, Matt Leinhauser, David M. Rogers, Ulrich Schramm, Klaus Steiniger, Stefan Gumhold, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Alexander Debus:
Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations. PASC 2023: 9:1-9:14 - [c10]Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung:
Frontier: Exploring Exascale. SC 2023: 52:1-52:16 - [e1]Axel Huebl, Cristina Silvano, Timothy Robinson:
Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023, Davos, Switzerland, June 26-28, 2023. ACM 2023 [contents] - [i14]Axel Huebl, Rémi Lehe, Edoardo Zoni, Olga Shapoval, Ryan T. Sandberg, Marco Garten, Arianna Formenti, Revathi Jambunathan, Prabhat Kumar, Kevin Gott, Andrew Myers, Weiqun Zhang, Ann S. Almgren, Chad E. Mitchell, Ji Qiang, David P. Grote, Alexander Sinn, Severin Diederichs, Maxence Thévenet, Luca Fedeli, Thomas Clark, Neïl Zaïm, Henri Vincenti, Jean-Luc Vay:
From Compact Plasma Particle Sources to Advanced Accelerators with Modeling at Exascale. CoRR abs/2303.12873 (2023) - [i13]Hannah Klion, Revathi Jambunathan, Michael E. Rowan, Eloise Yang, Donald E. Willcox, Jean-Luc Vay, Rémi Lehe, Andrew Myers, Axel Huebl, Weiqun Zhang:
Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms. CoRR abs/2304.10566 (2023) - [i12]Axel Huebl, Arianna Formenti, Marco Garten, Jean-Luc Vay:
State of In Situ Visualization in Simulations: We are fast. But are we inspiring? CoRR abs/2310.00469 (2023) - [i11]Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson:
A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability. CoRR abs/2311.02010 (2023) - 2022
- [j5]Severin Diederichs, Carlo Benedetti, Axel Huebl, Rémi Lehe, Andrew Myers, Alexander Sinn, Jean-Luc Vay, Weiqun Zhang, Maxence Thévenet:
HiPACE++: A portable, 3D quasi-static particle-in-cell code. Comput. Phys. Commun. 278: 108421 (2022) - [j4]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022) - [c9]Luca Fedeli, Axel Huebl, France Boillod-Cerneux, Thomas Clark, Kevin Gott, Conrad Hillairet, Stephan Jaure, Adrien Leblanc, Rémi Lehe, Andrew Myers, Christelle Piechurski, Mitsuhisa Sato, Neïl Zaïm, Weiqun Zhang, Jean-Luc Vay, Henri Vincenti:
Pushing the Frontier in the Design of Laser-Based Electron Accelerators with Groundbreaking Mesh-Refined Particle-In-Cell Simulations on Exascale-Class Supercomputers. SC 2022: 3:1-3:12 - [i10]Axel Huebl, Rémi Lehe, Chad E. Mitchell, Ji Qiang, Robert D. Ryne, Ryan T. Sandberg, Jean-Luc Vay:
Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale. CoRR abs/2208.02382 (2022) - 2021
- [j3]Andrew Myers, Ann S. Almgren, Ligia Diana Amorim, John B. Bell, Luca Fedeli, Lixin Ge, Kevin Gott, David P. Grote, Mark J. Hogan, Axel Huebl, Revathi Jambunathan, Rémi Lehe, Cho-Kuen Ng, Michael E. Rowan, Olga Shapoval, Maxence Thévenet, Jean-Luc Vay, Henri Vincenti, Eloise Yang, Neïl Zaïm, Weiqun Zhang, Yinjian Zhao, Edoardo Zoni:
Porting WarpX to GPU-accelerated platforms. Parallel Comput. 108: 102833 (2021) - [c8]Michael E. Rowan, Kevin N. Gott, Jack Deslippe, Axel Huebl, Maxence Thévenet, Rémi Lehe, Jean-Luc Vay:
In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code. PASC 2021: 10:1-10:11 - [c7]Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. SMC 2021: 99-118 - [c6]Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky:
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. SMC 2021: 119-138 - [i9]Andrew Myers, Ann S. Almgren, Ligia Diana Amorim, John B. Bell, Luca Fedeli, Lixin Ge, Kevin Gott, David P. Grote, Mark J. Hogan, Axel Huebl, Revathi Jambunathan, Rémi Lehe, Cho-Kuen Ng, Michael E. Rowan, Olga Shapoval, Maxence Thévenet, Jean-Luc Vay, Henri Vincenti, Eloise Yang, Neïl Zaïm, Weiqun Zhang, Yinjian Zhao, Edoardo Zoni:
Porting WarpX to GPU-accelerated platforms. CoRR abs/2101.12149 (2021) - [i8]Michael E. Rowan, Axel Huebl, Kevin N. Gott, Jack Deslippe, Maxence Thévenet, Rémi Lehe, Jean-Luc Vay:
In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code. CoRR abs/2104.11385 (2021) - [i7]Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl:
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2. CoRR abs/2107.06108 (2021) - [i6]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021) - 2020
- [j2]William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020)
2010 – 2019
- 2017
- [c5]Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann:
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. ISC Workshops 2017: 15-29 - [c4]Alexander Matthes, René Widera, Erik Zenker, Benjamin Worpitz, Axel Huebl, Michael Bussmann:
Tuning and Optimization for a Variety of Many-Core Architectures Without Changing a Single Line of Implementation Code Using the Alpaka Library. ISC Workshops 2017: 496-514 - [i5]Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann:
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. CoRR abs/1706.00522 (2017) - [i4]Alexander Matthes, René Widera, Erik Zenker, Benjamin Worpitz, Axel Huebl, Michael Bussmann:
Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library. CoRR abs/1706.10086 (2017) - 2016
- [j1]Alexander Matthes, Axel Huebl, René Widera, Sebastian Grottel, Stefan Gumhold, Michael Bussmann:
In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. Supercomput. Front. Innov. 3(4): 30-48 (2016) - [c3]Erik Zenker, Benjamin Worpitz, René Widera, Axel Huebl, Guido Juckeland, Andreas Knüpfer, Wolfgang E. Nagel, Michael Bussmann:
Alpaka - An Abstraction Library for Parallel Kernel Acceleration. IPDPS Workshops 2016: 631-640 - [c2]Erik Zenker, René Widera, Axel Huebl, Guido Juckeland, Andreas Knüpfer, Wolfgang E. Nagel, Michael Bussmann:
Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond. ISC Workshops 2016: 293-301 - [i3]Erik Zenker, Benjamin Worpitz, René Widera, Axel Huebl, Guido Juckeland, Andreas Knüpfer, Wolfgang E. Nagel, Michael Bussmann:
Alpaka - An Abstraction Library for Parallel Kernel Acceleration. CoRR abs/1602.08477 (2016) - [i2]Erik Zenker, René Widera, Axel Huebl, Guido Juckeland, Andreas Knüpfer, Wolfgang E. Nagel, Michael Bussmann:
Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond. CoRR abs/1606.02862 (2016) - [i1]Alexander Matthes, Axel Huebl, René Widera, Sebastian Grottel, Stefan Gumhold, Michael Bussmann:
In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. CoRR abs/1611.09048 (2016) - 2013
- [c1]Michael Bussmann, Heiko Burau, Thomas E. Cowan, Alexander Debus, Axel Huebl, Guido Juckeland, Thomas Kluge, Wolfgang E. Nagel, Richard Pausch, Felix Schmitt, Ulrich Schramm, Joseph Schuchart, René Widera:
Radiative signatures of the relativistic Kelvin-Helmholtz instability. SC 2013: 5:1-5:12
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last updated on 2024-11-20 22:00 CET by the dblp team
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