IAS Seminar: Particle Accelerator & Laser-Plasma Modeling at Exascale
Zoom: https://fz-juelich-de.zoom.us/j/96059538096?pwd=TGluVzhoL2luVk96M3lJOGVjclBYZz09
Speaker
Axel Huebl, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Abstract
Particle accelerators, among the largest, most complex devices, demand increasingly sophisticated computational tools for the design and optimization of the next generation of accelerators that will meet the challenges of increasing energy, intensity, accuracy, compactness, complexity and efficiency. It is key that contemporary software take advantage of the latest advances in computer hardware and scientific software engineering practices, delivering speed, reproducibility and feature composability for the aforementioned challenges. We will describe the software stack that is being developed at the heart of the Beam pLasma Accelerator Simulation Toolkit (BLAST) by LBNL and collaborators.
We present how the US DOE Exascale Computing Project (ECP) application WarpX [1-5] uses the power of GPUs at scale, which won the 2022 ACM Gordon Bell Prize. We will present performance results on the first Exascale supercomputer for the modeling of laser-plasma acceleration. We then describe how we are leveraging the ECP experience to develop a new generation ecosystem of codes that, combined with machine learning, will enable modeling from the ultrafast to the ultraprecise for future accelerator design and operations.
Footnotes
[1] L. Fedeli, A. Huebl et al, Gordon Bell Prize Winning Paper, SC22, Article 3, 1–12 (2022), https://dl.acm.org/doi/pdf/10.5555/3571885.3571889
[2] A. Huebl et al, TUYE2, NAPAC22, DOI:10.18429/JACoW-NAPAC2022-TUYE2 (2022)
[3] J.-L. Vay, A. Huebl, et al, Phys. Plasmas 28, 023105 (2021), https://doi.org/10.1063/5.0028512
[4] J.-L. Vay, A. Huebl, et al, J. Instr. 16, T10003 (2021), https://doi.org/10.1088/1742-6596/1596/1/012059
[5] A. Myers, et al (incl. A. Huebl), Parallel Comput. 108, 102833 (2021), https://doi.org/10.1016/j.parco.2021.102833
Short Biography
Axel Huebl is a computational physicist at Berkeley Lab. He is researching advanced particle accelerators with computational modeling tools, developing the Beam pLasma Accelerator Simulation Toolkit (BLAST) that includes applications such as the beam dynamics code ImpactX and the DOE Exascale Computing Project (ECP) application WarpX. Before joining Berkeley Lab in 2019, he was part of a team of undergraduates that made it in the ACM Gordon Bell finals in SC13, with the first particle-in-cell code running on the newly released Titan GPU cluster, called PIConGPU. Axel is a long-time user of scalable file formats and contributes to ECP libraries such as ADIOS2. For his applications, he also develops data reduction algorithms, including performance modeling, and interactive parallel data analysis. He co-authored and supervised the inception of the C++ performance portability framework Alpaka, the in situ visualization framework ISAAC and leads an open data standard, openPMD, which is now popular in plasma, beam and accelerator physics. For his early career work, Axel was awarded with various scientific prizes, including the ACM/IEEE George Michael Memorial High Performance Computing Fellowship (at Supercomputing), the FoMICS Prize for PhD Students (at PASC), the IEEE-NPSS Particle Accelerator Science and Technology (PAST) Doctoral Student Award (at NAPAC22), large computing awards (ALCC PI/ERCAP PI/INCITE co-PI), and others. In 2022, he was co-first-author of the paper that was awarded the 2022 ACM Gordon Bell Prize at SC22.
Funding Agency
Work supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. DOE Office of Science and the NNSA, and by LBNL LDRD under DOE Contract DE-AC02-05CH11231. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725, the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231, and the supercomputer Fugaku provided by RIKEN.