Work

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA

Year: 2024

Type: conference-paper

Source: Conference proceedings

DOI: 10.1109/mwscas60917.2024.10658913

Authors: Shashank Nag, Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego L. C. Dutra, Igor D. S. Miranda, Krishnan Kailas, Eugene B. John, Mauricio Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John

Institutions: The University of Texas at Austin, Universidade Federal do Rio de Janeiro, Universidade Federal do Recôncavo da Bahia, IBM (United States), IBM Research - Thomas J. Watson Research Center, The University of Texas at San Antonio, Iscte – Instituto Universitário de Lisboa

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Ministério da Ciência, Tecnologia e Ensino Superior, Fundação para a Ciência e a Tecnologia

Awards: G2499959356, G2916550768, Collaborative Research: SHF: Small: Quasi Weightless Neural Networks for Energy-Efficient Machine Learning on the Edge

OpenAlex ID: W4402727595

FWCI: 0.421

Cites: 22

Cited by: 2

Related to: 10