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BEGIN:VEVENT
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:Modern high-performance computing is being reshaped by novel hardware archi
 tectures, particularly those developed for AI, offering unprecedented perfo
 rmance. Effectively using these systems for scientific workloads, however, 
 often requires redesigning the underlying physics, algorithms, and data str
 uctures, as well as adapting existing methods to better align with these ar
 chitectures. In this talk, we present our efforts to apply emerging AI hard
 ware to non-AI workloads, specifically quantum chemistry and electronic str
 ucture calculations, and showcase our significant performance gains.\n
X-ALT-DESC;FMTTYPE=text/html:<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:20260826T195228
DTSTART;TZID=America/New_York:20260402T110000
DTEND;TZID=America/New_York:20260402T120000
SEQUENCE:0
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