Applied Reconfigurable Computing. Architectures, Tools, and Applications

First Twenty Years of the International Symposium on Applied Reconfigurable Computing (ARC): a Selection of Papers.- HT-NoC: Reconfigurable High Throughput Network-on-Chip for AI Dataflow Accelerators.- An MLIR-based Compilation Framework for CGRA Application Deployment.- Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA.- RePAIR: Reconfigurable Platform for AI Resilience within RISC-V Ecosystem.- ROBoost: A Study of FPGA Logic-Based Power-Wasting Primitives.- FLARE: An FPGA-based Universal Large Flow Detection Engine.- Out-of-the-Box Performance of FPGAs for ML Workloads using Vitis AI.- A Heterogeneous Embedded Platform for AI-based Protocol Identification.- Counting Heavy Items in Filtered Data Streams Using an HLS-Generated FPGA Kernel.- Ultra-low Latency and Extreme Throughput Echo State Neural Networks on FPGA.- A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks.- Real-Time Multi-Object Tracking using YOLOv8 and SORT on a SoC FPGA.- Dynamic Function Exchange in FPGA to Redefine RISC-V Multicore Architectures at Runtime.