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Technology Forum: SDSC Voyager – An Innovative Resource for AI & Machine Learning
September 23 @ 9:00 am - 10:00 am
Join us to learn about SDSC’s most recent supercomputer award, the Voyager system. With an innovative system architecture uniquely optimized for deep learning (DL) operations and AI workloads, Voyager will provide an opportunity for researchers to explore and implement new deep learning techniques.
Director for Data Enabled Scientific Computing, SDSC
Amit Majumdar is the Director of SDSC’s Data Enabled Scientific Computing division and is an Associate Professor in the Department of Radiation Medicine and Applied Sciences at UC San Diego. He received his B.S. from Jadavpur University, Calcutta, India in 1985, M.S. from Idaho State University in 1988 and Ph.D. from University of Michigan in 1996. After working one year at the Ford Research Laboratory in Michigan, he joined the San Diego Supercomputer Center in 1997. His research interests are in high performance computing (HPC), computational science, and cyberinfrastructure software and services such as science gateways. He has developed parallel algorithms for various kinds of HPC machines and is interested in optimizing, scaling and analyzing performance of scientific applications on HPC machines. He has been involved in computational science projects where medical applications utilize HPC and cyberinfrastructure. Some of his recent funded projects include developing the neuroscience gateway (NSG) for computational neuroscientists (NSF and NIH funded), analyzing performance of scientific applications on next generation dense many core architectures (NSF funded), developing parallel I/O libraries for physics based modeling codes (DoD funded) etc. He serves as a PI or Co-PI on multiple research projects funded by NSF, NIH, DoD, AFOSR, and industry (Intel, Engility, Microsoft).