Applied Reconfigurable Computing. Architectures, Tools, and Applications  18th International Symposium, ARC 2022, Virtual Event, September 19-20, 2022, Proceedings /  [electronic resource] : 
edited by Lin Gan, Yu Wang, Wei Xue, Thomas Chau. 
 - 1st ed. 2022. 
 - XII, 197 p. 109 illus., 101 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  13569  1611-3349 ; .
 - Lecture Notes in Computer Science,  13569 .
<br/><br/>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. 
<br/><br/> This book constitutes the proceedings of the 18th International Symposium on Applied Reconfigurable Computing, ARC 2022, held as a virtual event, in September 2022. The 13 full papers presented in this volume were reviewed and selected from 16 submissions. The papers cover a broad spectrum of applications of reconfigurable computing, from driving assistance, data and graph processing acceleration, computer security to the societal relevant topic of supporting early diagnosis of Covid infectious conditions. 
<br/><br/><label>ISBN: </label>9783031199837 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-19983-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computers.<br/>Computer engineering.<br/>Computer networks .<br/>Software engineering.<br/>Computer Hardware.<br/>Computer Engineering and Networks.<br/>Software Engineering.<br/>Computer Engineering and Networks.
<br/><br/><label>LC Class. No.: </label>TK7885-7895 
<br/><br/><label>Dewey Class. No.: </label>004