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Applied Reconfigurable Computing. Architectures, Tools, and Applications

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Cover of 'Applied Reconfigurable Computing. Architectures, Tools, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 100% Visibility at MHz Speed: Efficient Soft Scan-Chain Insertion on AMD/Xilinx FPGAs
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    Chapter 2 FPGA-Accelerated Tersoff Multi-body Potential for Molecular Dynamics Simulations
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    Chapter 3 A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA
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    Chapter 4 A Multi-FPGA Scalable Framework for Deep Reinforcement Learning Through Neuroevolution
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    Chapter 5 Development Progress of SWLBM a Framework Based on Lattice Boltzmann Method for Fluid Dynamics Simulation
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    Chapter 6 Entropy-Based Early-Exit in a FPGA-Based Low-Precision Neural Network
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    Chapter 7 FPGA-Extended General Purpose Computer Architecture
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    Chapter 8 Multi-spectral In-Vivo FPGA-Based Surgical Imaging
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    Chapter 9 Hardware-Aware Optimizations for Deep Learning Inference on Edge Devices
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    Chapter 10 IPEC: Open-Source Design Automation for Inter-Processing Element Communication
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    Chapter 11 Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation
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    Chapter 12 Real-Time Embedded Object Tracking with Discriminative Correlation Filters Using Convolutional Features
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    Chapter 13 VenOS: A Virtualization Framework for Multiple Tenant Accommodation on Reconfigurable Platforms
Attention for Chapter 8: Multi-spectral In-Vivo FPGA-Based Surgical Imaging
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Chapter title
Multi-spectral In-Vivo FPGA-Based Surgical Imaging
Chapter number 8
Book title
Applied Reconfigurable Computing. Architectures, Tools, and Applications
Published by
Springer, Cham, October 2022
DOI 10.1007/978-3-031-19983-7_8
Book ISBNs
978-3-03-119982-0, 978-3-03-119983-7
Authors

Majed Alsharari, Lorenzo Niemitz, Simon Sorensen, Roger Woods, Ray Burke, Stefan Andersson Engels, Carlos Reaño, Son T. Mai, Alsharari, Majed, Niemitz, Lorenzo, Sorensen, Simon, Woods, Roger, Burke, Ray, Engels, Stefan Andersson, Reaño, Carlos, Mai, Son T.

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