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UID:6dafe01b22347d4ef6661ba94c20ce0c
CATEGORIES:Applied and Computational Math Seminar
CREATED:20260327T202055
SUMMARY:Accelerating Electronic Structure and Quantum Chemistry Simulations with AI-Hardware.
LOCATION:Hill 705
DESCRIPTION:<p><span data-olk-copy-source="MessageBody" style="background-color: white;
 ">Modern high-performance computing is being reshaped by novel hardware arc
 hitectures, particularly those developed for AI, offering unprecedented per
 formance. Effectively using these systems for scientific workloads, however
 , often requires redesigning the underlying physics, algorithms, and data s
 tructures, as well as adapting existing methods to better align with these 
 architectures. In this talk, we present our efforts to apply emerging AI ha
 rdware to non-AI workloads, specifically quantum chemistry and electronic s
 tructure calculations, and showcase our significant performance gains.</spa
 n></p>
CONTACT:Joshua Finkelstein (Los Alamos National Laboratory)
DTSTAMP:20260826T173109
DTSTART;TZID=America/New_York:20260402T110000
DTEND;TZID=America/New_York:20260402T120000
SEQUENCE:0
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