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DTSTART;TZID=Europe/Stockholm:20230628T150000
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UID:submissions.pasc-conference.org_PASC23_sess146_msa151@linklings.com
SUMMARY:Acoustic Full-Waveform Inversion in Julia on Multi-xPUs
DESCRIPTION:Minisymposium\n\nGiacomo Aloisi, Andrea Zunino, Christian Boeh
 m, and Andreas Fichtner (ETH Zurich)\n\nFull-waveform inversion (FWI) is a
  high-resolution technique used to infer physical properties of the interi
 or of a medium by running numerical simulations and comparing the results 
 with observed waveforms. The computational cost and complexity of FWI curr
 ently make it unappealing to non experts and for applications where time-t
 o-solution is critical. Our work aims to combine close-to-ideal performanc
 e and scalability with ease of use and low HPC knowledge requirements to m
 ake FWI more accessible to a larger scientific community. We introduce a p
 ackage for acoustic forward and gradient computations targeting FWI fully 
 written in the Julia programming language that can run on multiple CPUs or
  GPUs. We show how our finite-difference solver can reach close to peak pe
 rformance as well as almost linear weak scaling on the GPU nodes of the Pi
 z Daint supercomputer. Its flexibility, efficiency, and accessibility make
  it a suitable choice for both “rapid prototyping” scenarios as well as co
 mplex large-scale inversions.\n\nDomain: Computer Science, Machine Learnin
 g, and Applied Mathematics 
\n\nSession Chair: Samuel Omlin (ETH Zurich / 
 CSCS)
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