This book constitutes the proceedings of the 14th International Conference on Applied Reconfigurable Computing, ARC 2018, held in Santorini, Greece, in May 2018.
The 29 full papers and 22 short presented in this volume were carefully reviewed and selected from 78 submissions. In addition, the volume contains 9 contributions from research projects. The papers were organized in topical sections named: machine learning and neural networks; FPGA-based design and CGRA optimizations; applications and surveys; fault-tolerance, security and communication architectures; reconfigurable and adaptive architectures; design methods and fast prototyping; FPGA-based design and applications; and special session: research projects.
Machine Learning and Neural Networks.- Approximate FPGA-based LSTMs under Computation Time Constraints.- Redundancy-reduced MobileNet Acceleration on Reconfigurable Logic For ImageNet Classification.- Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic.- Deep Learning on High Performance FPGA Switching Boards: Flow-in-Cloud.- SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks.- Efficient hardware acceleration of recommendation engines: a use case on collaborative filtering.- FPGA-based Design and CGRA Optimizations.- VerCoLib: Fast and Versatile Communication for FPGAs via PCI Express.- Performance Estimation of FPGA Modules for Modular Design Methodology using Artificial Neural Network.- Achieving Efficient Realization of Kalman Filter on CGRA through Algorithm-Architecture Co-design.- FPGA-based Memory Efficient Shift-And Algorithm for Regular Expression Matching.- Towards an optimized multi FPGA architecture with STDM network: a preliminary study.- Applications and Surveys.- An FPGA/HMC-based Accelerator for Resolution Proof Checking.- An Efficient FPGA Implementation of the Big Bang-Big Crunch Optimization Algorithm.- ReneGENE-GI: Elă…