Fermentvm Pharisæorvm, or, The leaven of pharisaicall wil-worship [[electronic resource] ] : declared in a sermon on Matth. 15.9 Novemb. 24. 1641. at Lemster in Herefordshire. / / By Iohn Tombes, B.D

• Record Nr.: UNISA996396310503316
• Autore: Tombes John <1603?-1676.>
• Pubbl/distr/stampa: London, : Printed by Richard Cotes for Andrew Crooke, and are to be sold at his shop at the signe of the Greene Dragon in Pauls Church-yard, 1643
• Descrizione fisica: [4], 18 p
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Annotation on Thomason copy: "July ist".; "It is this nineteenth day of Aprill Anno Dom. 1643. Ordered by the committee of the House of Commons in Parliament, concerning printing, that this book intituled (the leaven of Pharisaicall Wil-worship) be printed. John White."; Reproduction of the original in the British Library.
• Sommario/riassunto: eebo-0018

Applied Reconfigurable Computing. Architectures, Tools, and Applications : 18th International Symposium, ARC 2022, Virtual Event, September 19–20, 2022, Proceedings / / edited by Lin Gan, Yu Wang, Wei Xue, Thomas Chau

• Record Nr.: UNINA9910624397403321
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
• ISBN: 9783031199837; 3031199839
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (207 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 13569
• Disciplina: 004
• Soggetti: Computers; Computer engineering; Computer networks; Software engineering; Computer Hardware; Computer Engineering and Networks; Software Engineering
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.