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Friday, December 3 @11 am
EECS Colloquium: Energy-efficient communication architecture for beyond von-Neumann DNN accelerators, Sumit K. Mandal
WSU Pullman - Electrical and Mechanical Engineering Building

Data communication plays a significant role in overall performance for hardware accelerators of Deep Neural Networks (DNNs). For example, crossbar-based in-memory computing significantly increases on-chip communication volume since the weights and activations are on-chip. State-of-the-art interconnect methodologies for in-memory computing deploy a bus-based network or mesh-based NoC.