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DTSTART:19700308T020000
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DTSTART;TZID=America/Chicago:20251116T112000
DTEND;TZID=America/Chicago:20251116T113000
UID:submissions.supercomputing.org_SC25_sess119_misc183@linklings.com
SUMMARY:Speeding Up Phonon Dynamic Structure Factor Calculations in Phonop
 y with GPU-Accelerated Computing
DESCRIPTION:Philip Fackler (Oak Ridge National Laboratory)\n\nWe utilized 
 high-performance computing techniques, including GPU accelerators, to spee
 d up calculations of the phonon dynamic structure factor used to model spe
 ctroscopy data measured at neutron and x-ray scattering facilities. This f
 aster workflow is a first step toward experimental steering, enabling faci
 lity users to make informed decisions during beam time rather than after r
 eturning to their home institutions. A collection of functions in Phonopy,
  a mostly serial Python+C code, was identified as a bottleneck for high-fi
 delity calculations utilizing hundreds of thousands of points in reciproca
 l space. We created a proxy application replicating Phonopy’s 𝑟𝑢𝑛_𝑑𝑦𝑛𝑎𝑚𝑖𝑐_
 𝑠𝑡𝑟𝑢𝑐𝑡𝑢𝑟𝑒_𝑓 𝑎𝑐𝑡𝑜𝑟 function and used the Numba and CuPy libraries to run on
  the latest NVIDIA GH200 and AMD MI300A GPU accelerators. Two representati
 ve use cases, CaHgO2 and CsSnBr3, showed speedups of up to 10× and 15×, re
 spectively. The utilization of high-performance computing accelerators sho
 wcases the potential use of Oak Ridge Leadership Computing Facility resour
 ces to rapidly analyze experimental data from the Spallation Neutron Sourc
 e at Oak Ridge National Laboratory.\n\nRecording: Livestreamed, Recorded\n
 \nRegistration Category: Technical Program Reg Pass, Workshop Reg Pass\n\n
 Session Chairs: Justin Wozniak (Argonne National Laboratory (ANL), Univers
 ity of Chicago); Nicholas Schwarz (Argonne National Laboratory (ANL)); and
  Hannah Parraga (Argonne National Laboratory (ANL))\n\n
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