Titlebook: Applied Reconfigurable Computing. Architectures, Tools, and Applications; 20th International S Iouliia Skliarova,Piedad Brox Jiménez,Pedro

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Open-Source SpMV Multiplication Hardware Accelerator for?FPGA-Based HPC Systemsthe most challenging to optimize, primarily due to its low flop-per-byte ratio and irregular memory accesses. As such, modern FPGAs, combined with High-Bandwidth Memory (HBM) modules, are much better-suited to the memory-bound nature of this kernel, compared to general purpose CPUs. Current FPGA-bas

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Reconfigurable Edge Hardware for?Intelligent IDS: Systematic Approachmunication and identify, if not thwart, possibly malicious behavior. Recently, machine learning has been deployed to construct intelligent IDS. This approach, however, is quite challenging particularly in distributed, highly dynamic, yet resource-constrained systems like Edge setups. In this paper,

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LiDAR 3D Object Detection in?FPGA with?Low Bitwidth QuantizationDAR processing require a large processing computing capacity and storage. So, real-time execution of these models requires a high-performance computing platform on-board. To reduce the stress over the onboard computer, some proposals consider lite models at the cost of some accuracy. Instead of mode

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Cryptographic Security Through a?Hardware Root of?Trusthic functions. Taking advantage of the processing power of a System-on-Chip, the solution established promotes hardware-based security solutions over software-only solutions. The proposed Root-of-Trust, developed around a Xilinx Zynq-7000 SoC device, integrates components based on cryptographic algo

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NEUROSEC: FPGA-Based Neuromorphic Audio Securityo their unparalleled potential across a wide range of applications. While their capabilities herald innovation, it is imperative to underscore that these computational paradigms, analogous to their traditional counterparts, are not impervious to security threats. Although the exploration of neuromor