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US20220327434A1

Field Programmable Gate Array Architecture Optimized For Machine Learning …

University of Texas System

Abstract

Systems and methods for a new field programmable gate array (FPGA) architecture that is optimized for machine learning (ML) applications are provided. Such ML applications can specifically include, for example, artificial neural networks and deep neural networks. Various embodiments enable the …

University
University of Texas System
Assignee
Board Of Regents, The University Of Texas System
Inventor
Lizy Kurian John
Priority date
September 30, 2019
Filing date
September 29, 2020
Publication date
October 13, 2022
Language
en
Metadata fetched
August 29, 2026 00:29