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DTSTART;TZID=Europe/Stockholm:20260629T113000
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UID:submissions.pasc-conference.org_PASC26_sess167@linklings.com
SUMMARY:AP1B - ACM Papers: Numerical Methods
DESCRIPTION:Access the recording\n\nCustomized Precision for Discontinuous
  Galerkin Methods Using Adaptive Spectral Block Floating Point\n\nDisconti
 nuous Galerkin (DG) methods offer high-order accuracy and geometric flexib
 ility, but come with significant memory demands for storing degrees of fre
 edom of the numerical solution -- this remains a major performance bottlen
 eck for large-scale simulations. Building on prior work introducing a ...\
 n\n\nShivam Sundriyal and Markus Büttner (University of Bayreuth), Tobias 
 Kenter (Paderborn University), and Vadym Aizinger (University of Bayreuth)
 \n---------------------\nThe Memory Scaling of Reverse-Mode Differentiatio
 n in Particle Accelerator Simulations with Space Charge\n\nThe recent deve
 lopment of \emph{differentiable} simulation codes for particle accelerator
 s has enabled gradient-based workflows that promise finer control and more
  realistic modeling of accelerator facilities. However, when using reverse
 -mode automatic differentiation, the memory usage continuously ...\n\n\nAr
 jun Dhamrait, Edoardo Zoni, Axel Huebl, Ji Qiang, and Chad Mitchell (Lawre
 nce Berkeley National Laboratory); Ryan Roussel (SLAC); Jan Kaiser (DESY);
  Chenran Xu (Argonne National Laboratory); and Jean-Luc Vay and Remi Lehe 
 (Lawrence Berkeley National Laboratory)\n\nDomain: Physics, Computational 
 Methods and Applied Mathematics\n\nSession Chair: Guillaume Houzeaux (Barc
 elona Supercomputing Center)
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