Applied Reconfigurable Computing. Architectures, Tools, and Applications (eBook, PDF)

21st International Symposium, ARC 2025, Seville, Spain, April 9-11, 2025, Proceedings
Redaktion: Giorgi, Roberto; Barriga Barros, Ángel; Brox Jiménez, Piedad; Stroobandt, Dirk; Stojilovic, Mirjana

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 21st International Symposium on Applied Reconfigurable Computing. Architectures, Tools, and Applications, ARC 2025, held in Seville, Spain, during April 9-11, 2025. The 12 full papers presented in this book together with 1 short paper from the technical program were carefully reviewed and selected from 40 submissions. ARC 2025 covers a wide range of topics, including hardware acceleration, security and fault tolerance, energy-efficient architectures, and emerging applications in artificial intelligence and high-performance computing. The symposium fostered collaboration and pushed the boundaries of state-of-the-art research.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 246
• Erscheinungstermin: 3. April 2025
• Englisch
• ISBN-13: 9783031879951
• Artikelnr.: 73818413

Inhaltsangabe

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.