Applied Reconfigurable Computing. Architectures, Tools, and Applications -

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Résumé :
100% Visibility At MHz Speed: Efficient Soft Scan-Chain Insertion on AMD/Xilinx FPGAs.- FPGA-Accelerated Terso_ Multi-Body Potential for Molecular Dynamics Simulations.- A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA.- A Multi-FPGA Scalable Framework for Deep Reinforcement Learning through Neuroevolution.- Development Progress of SWLBM a Framework Based on Lattice Boltzmann Method for Fluid Dynamics Simulation .- Entropy-based Early-exit in a FPGA-based Low-precision Neural Network.- FPGA-extended General Purpose Computer Architecture.- Multi-Spectral In-vivo FPGA-based Surgical Imaging.- Hardware-Aware Optimizations for Deep Learning Inference on Edge Devices.- IPEC: Open-Source Design Automation for Inter-Processing Element Communication.- Light-weight Permutation Generator for E_cient Convolutional Neural Network Data Augmentation.- Real-time embedded object tracking with Discriminative Correlation Filters using convolutional features.- VenOS: A virtualization framework for multiple tenant accommodation on reconfigurable platforms....

Sommaire:
100% Visibility At MHz Speed: Efficient Soft Scan-Chain Insertion on AMD/Xilinx FPGAs.- FPGA-Accelerated Terso_ Multi-Body Potential for Molecular Dynamics Simulations.- A Runtime Programmable Accelerator for Convolutional and Multilayer Perceptron Neural Networks on FPGA.- A Multi-FPGA Scalable Framework for Deep Reinforcement Learning through Neuroevolution.- Development Progress of SWLBM a Framework Based on Lattice Boltzmann Method for Fluid Dynamics Simulation .- Entropy-based Early-exit in a FPGA-based Low-precision Neural Network.- FPGA-extended General Purpose Computer Architecture.- Multi-Spectral In-vivo FPGA-based Surgical Imaging.- Hardware-Aware Optimizations for Deep Learning Inference on Edge Devices.- IPEC: Open-Source Design Automation for Inter-Processing Element Communication.- Light-weight Permutation Generator for E_cient Convolutional Neural Network Data Augmentation.- Real-time embedded object tracking with Discriminative Correlation Filters using convolutional features.- VenOS: A virtualization framework for multiple tenant accommodation on reconfigurable platforms.