Optimal Systolic Array Design for Deep Learning Acceleration
Channel: UCLA VAST
Date: 2021-12-08

Prof. Jason Cong gave a keynote presentation at Road4NN 2021: Optimal Systolic Array Design for Deep Learning Acceleration - Where "Good Intuitions" Often Leads to Inferior Solutions

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The VAST lab at UCLA investigates cutting-edge research topics at the intersection of VLSI technologies, design automation,  architecture, and compiler optimization at multiple scales, from micro-architecture building blocks to heterogeneous compute nodes and scalable data centers.  Current focuses include architecture and design automation for emerging technologies, customizable domain-specific computing with applications to multiple domains, such as imaging processing, bioinformatics, data mining, and machine learning.