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June 10–13, 2024
San Francisco + Virtual
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James Demmel

Dr. Richard Carl Dehmel Distinguished Professor at University of California, Berkeley
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James Demmel is Professor of Math and Computer Science at UC Berkeley. He is known for work on numerical linear algebra libraries, including LAPACK and ScaLAPACK. His work on high-performance computing, e.g. communication-avoiding algorithms, has been recognized by many awards: member of the Natl. Acad. of Sci., Natl. Acad. of Eng., Amer. Acad. of Arts and Sci.; Fellow of AAAS, ACM, AMS, IEEE, and SIAM; Paris Kanellakis, Charles Babbage, and Sidney Fernbach Awards, and many best paper prizes.
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Catch me at these sessions

Colossal AI: Scaling AI Models in Big Model Era
Enterprise Technology, Professional Services
DSML: ML Use Cases / Technologies
In Person
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