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Herausgeber: 
  • Paola Busia
  • Paolo Meloni
  • Gianluca Leone
  • Andrés Otero
  • Applied Reconfigurable Computing. Architectures, Tools, and Applications: 22nd International Symposium, ARC 2026, Cagliari, Sardinia, Italy, April 8–1 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2026  
    Genre:  EDV / Informatik 
     
    AI-based Applications / compilation / Computer Engineering and Networks / computer hardware / Design Space Exploration / embedded computing / FPGA / HLS
    ISBN:  9783032293640 
    EAN-Code: 
    9783032293640 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  380 
    Illustration:  XVI, 380 p. 95 illus., 85 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book constitutes the proceedings of the 22nd International Symposium on Applied Reconfigurable Computing, ARC 2026, held in Cagliari, Sardinia, Italy, during April 8-10, 2026.

    The 19 full papers and 1 short papers included in this book were carefully reviewed and selected from 33 submissions. The symposium also featured two special sessions, devoted to Accelerating Physical AI with Event-driven Reconfigurable Hardware for Neuromorphic Perception and to Collaborative Projects, highlighting emerging architectures and applications in reconfigurable computing. The contributions presented during the special sessions are included as invited papers in these proceedings.

    The papers were organized in topical sections as follows: Architectures and Accelerators; Softcores and Optimization; Neural Networks and Artificial Intelligence; Design Tools; Applications; Accelerating Physical AI with Event-driven Reconfigurable Hardware for Neuromorphic Perception; and Collaborative Projects.

      



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