Kushal Datta
Senior Research Scientist, Intel
Kushal Datta is a senior research scientist in the Artificial Intelligence Products Group at Intel. He specializes in accelerating deep learning training and inference on Intel architecture. His noteworthy achievements are the optimization of multiscale CNN training time on Multi-Node Xeon and INT8/VNNI quantization of the transformer model. Previously, he contributed to Intel Graph Analytics Toolkit, Genomics Analytics Toolkit-4.0 (from Broad Institute), and TileDB (a multidimensional array store). He earned his PhD in ECE from the University of North Carolina at Charlotte where he created a cycle-accurate microarchitecture simulator called Casper, which was awarded the best contribution to the OpenSPARC Community Project. His doctoral dissertation used statistical machine learning and Casper to improve power efficiency of simultaneous multi-threading SPARCV9 many core microarchitectures.
Sessions
Presented by
Elite Sponsors
Strategic Sponsors
Diversity and Inclusion Sponsor
Impact Sponsors
Premier Exhibitor Plus
R & D and Innovation Track Sponsor
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
Become a sponsor
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires