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DTSTAMP:20260624T171340Z
LOCATION:Bldg. 8 - Entrance Hall
DTSTART;TZID=Europe/Stockholm:20260630T173000
DTEND;TZID=Europe/Stockholm:20260630T194500
UID:submissions.pasc-conference.org_PASC26_sess135_posC105@linklings.com
SUMMARY:ACMP10 - Mixed Precision Acceleration of Light Matter Dynamics: En
 abling HPC Co-Design for Quantum Material Discovery
DESCRIPTION:Taufeq Mohammed Razakh (University of Southern California)\n\n
 Light-matter dynamics in topological quantum materials holds the promise f
 or a sustainable society with ubiquitous and power-hungry artificial intel
 ligence (AI) by enabling ultralow-power (attojoule) and ultrafast (petaher
 tz) computing and sensing devices. A challenge is simulating multiple fiel
 d and particle equations for light, electrons, and atoms over vast spatiot
 emporal scales. In the meantime, high-performance computing is at a histor
 ic crossroads, where traditional modeling and simulation applications may 
 not survive the increasingly heterogeneous and low-precision focus of hard
 ware architecture, driven by the AI-dominant market. This work resolves th
 is performance-accuracy dichotomy, thereby suggesting exciting new algorit
 hm-hardware co-design pathways for a wide variety of multiscale/multiphysi
 cs problems in the post-exascale era.\n\n
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