An Improved Framework for and Case Studies in FPGA-Based Application Acceleration - Computer Vision, In-Network Processing and Spiking Neural Networks

An Improved Framework for and Case Studies in FPGA-Based Application Acceleration - Computer Vision, In-Network Processing and Spiking Neural Networks

Field Programmable Gate Arrays (FPGAs) are a new addition to the world of data center acceleration. While the underlying technology has been around for decades, their application in data centers slowly starts gaining traction. However, there are myriad problems that hinder the widespread application...

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Bibliographic Details
Main Author: Hofmann, Jaco
Format: Others
Language:en
Published: 2020
Online Access:https://tuprints.ulb.tu-darmstadt.de/10355/1/Thesis_JAH_2019.pdf
Hofmann, Jaco <http://tuprints.ulb.tu-darmstadt.de/view/person/Hofmann=3AJaco=3A=3A.html> (2020): An Improved Framework for and Case Studies in FPGA-Based Application Acceleration - Computer Vision, In-Network Processing and Spiking Neural Networks.Darmstadt, Technische Universität, DOI: 10.25534/tuprints-00010355 <https://doi.org/10.25534/tuprints-00010355>, [Ph.D. Thesis]

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https://tuprints.ulb.tu-darmstadt.de/10355/1/Thesis_JAH_2019.pdf
Hofmann, Jaco <http://tuprints.ulb.tu-darmstadt.de/view/person/Hofmann=3AJaco=3A=3A.html> (2020): An Improved Framework for and Case Studies in FPGA-Based Application Acceleration - Computer Vision, In-Network Processing and Spiking Neural Networks.Darmstadt, Technische Universität, DOI: 10.25534/tuprints-00010355 <https://doi.org/10.25534/tuprints-00010355>, [Ph.D. Thesis]

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