Applied Reconfigurable Computing. Architectures, Tools, and Applications

Chapter 1 SNN vs. CNN Implementations on FPGAs: An Empirical Evaluation

Chapter 2 Open-Source SpMV Multiplication Hardware Accelerator for FPGA-Based HPC Systems

Chapter 3 Deep Quantization of Graph Neural Networks with Run-Time Hardware-Aware Training

Chapter 4 Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach

Chapter 5 Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints

Chapter 6 Enabling FPGA and AI Engine Tasks in the HPX Programming Framework for Heterogeneous High-Performance Computing

Chapter 7 LiDAR 3D Object Detection in FPGA with Low Bitwidth Quantization

Chapter 8 Cryptographic Security Through a Hardware Root of Trust

Chapter 9 Analysis of Clock Tree Buffer Degradation Caused by Radiation

Chapter 10 NEUROSEC: FPGA-Based Neuromorphic Audio Security

Chapter 11 Secure eFPGA Configuration: A System-Level Approach

Chapter 12 Graphtoy: Fast Software Simulation of Applications for AMD’s AI Engines

Chapter 13 A DSL and MLIR Dialect for Streaming and Vectorisation

Chapter 14 Analysis of Process Variation Within Clock Regions of AMD-Xilinx UltraScale+ Devices

Chapter 15 High Performance Connected Components Accelerator for Image Processing in the Edge

Chapter 16 Spectral-Blaze: A High-Performance FFT-Based CNN Accelerator

Chapter 17 Trusted Computing Architectures for IoT Devices

Chapter 18 PROACT - Physical Attack Resistance of Cryptographic Algorithms and Circuits with Reduced Time to Market

Chapter 19 A Flexible Mixed-Mesh FPGA Cluster Architecture for High Speed Computing

Chapter 20 A Safety-Critical, RISC-V SoC Integrated and ASIC-Ready Classic McEliece Accelerator

Chapter 21 Exploiting FPGAs and Spiking Neural Networks at the Micro-Edge: The EdgeAI Approach