Applied Reconfigurable Computing. Architectures, Tools, and Applications

Chapter 1 100% Visibility at MHz Speed: Efficient Soft Scan-Chain Insertion on AMD/Xilinx FPGAs

Chapter 2 FPGA-Accelerated Tersoff Multi-body Potential for Molecular Dynamics Simulations

Chapter 3 A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA

Chapter 4 A Multi-FPGA Scalable Framework for Deep Reinforcement Learning Through Neuroevolution

Chapter 5 Development Progress of SWLBM a Framework Based on Lattice Boltzmann Method for Fluid Dynamics Simulation

Chapter 6 Entropy-Based Early-Exit in a FPGA-Based Low-Precision Neural Network

Chapter 7 FPGA-Extended General Purpose Computer Architecture

Chapter 8 Multi-spectral In-Vivo FPGA-Based Surgical Imaging

Chapter 9 Hardware-Aware Optimizations for Deep Learning Inference on Edge Devices

Chapter 11 Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation

Chapter 12 Real-Time Embedded Object Tracking with Discriminative Correlation Filters Using Convolutional Features

Chapter 13 VenOS: A Virtualization Framework for Multiple Tenant Accommodation on Reconfigurable Platforms