Technical Program

Paper Detail

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Paper: G-2.2
Paper Title:  FPGA-based DNN Hardware Accelerator for Sensor Network Aggregation Node
Authors:  Nadya Mohamed, Joseph Cavallaro, Rice University, United States
Session: Improving the Efficiency of Neural Network Hardware: Devices, Circuits, Algorithms and Applications (invited)
Location: Virtual G
Presentation Time: Monday, October 31, 09:30 - 10:30
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Architectures and Implementation: Invited Session: Improving the Efficiency of Neural Network Hardware: Devices, Circuits, Algorithms and Applications