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Apr 23 2021

Energy Efficient Edge Computing: Field Programmable Neural Array


April 23, 2021


online; Password: 83282226


Chicago, IL 60607

Energy Efficient Edge Computing: Field Programmable Neural Array

Presenter: Peter Gadfort, U.S. Army, CCDC Army Research Lab

Abstract: To date, most research has focused on building AI hardware for datacenters and cell phones, supporting a narrow class of neural networks and generally achieving high efficiencies by batching the data together. The field programmable neural array (FPNA) is capable of implementing artificial intelligence (AI)/machine learning (ML) algorithms and of being reprogrammed (field programmable) allowing a single device to be deployed in many applications. This is critical in minimizing the cost of deploying new algorithms to the warfighter while enabling AI/ML on the warfighter without a substantial increase in power demand. This talk presents the architecture of a FPNA for AI applications at the tactical computing edge. This platform combines domain-specific accelerators for AI with a reconfigurable interconnect to permit any deep neural network to be mapped into the FPNA. The FPNA includes domain specific accelerators that perform inference tasks with higher computing efficiency than central processing units and graphics processing units, approaching that of application specific integrated circuits designed specifically for AI applications, and a reconfigurable interconnect providing the flexibility and connectivity of an FPGA.

Speaker bio: Peter Gadfort is the lead of the Silicon Technologies Team at the DEVCOM Army Research Laboratory. He received a BS in electrical and computer engineering in 2008, a MS in electrical engineering in 2009, and a PhD in electrical engineering from North Carolina State University in 2014. He was an intern/postdoctoral researcher at University of Southern California’s Information Sciences Institute (ISI) in 2013-2014 before joining ARL in fall of 2014. His research interests center on energy efficient circuits and systems, and has been working on energy efficient soldier radios since joining ARL. His current research interests include 2.5 and 3-D packaging and integration, secure microsystems, and energy efficient electronics.

Faculty Host: Inna Partin-Vaisband,

This seminar will not be recorded.


Department of Electrical and Computer Engineering

Date posted

Apr 30, 2021

Date updated

Apr 30, 2021