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Autor(en): 
  • Robert Dunne
  • Introduction to X86 Machine Code Assembly Language: Using an FPGA with Verilog 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  August 2023  
    Genre:  EDV / Informatik 
    ISBN:  9798986927305 
    EAN-Code: 
    9798986927305 
    Verlag:  Gaul Communications 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 157 mm / D 23 mm 
    Gewicht:  640 gr 
    Seiten:  336 
    Zus. Info:  HC gerader Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Learn computer architecture and assembly language by building a working model of an 8086 processor from basic principles of computer architecture. Field Programmable Gate Arrays (FPGA) provide flexible digital electronics platforms that can be organized as a CPU, a neural net, or almost any other digital circuit. By working through the examples in this book and experimenting with the "X86 model," the reader will receive a "hands on" introduction to the following: Computer architecture in general The X86 family of CPUs in particular Assembly language programming Input/Output and interrupt programming The Verilog Hardware Description Language Field Programmable Gate Arrays How is this book different from many other books on X86 architecture: Emphasizes the 8086 machine codes, not just the assembly language Shows how an assembler converts source code to machine language. Provides experience with interrupt programming Describes both 8086 instructions and X86-64 instructions Encourages a hands-on introduction to Verilog and FPGAs Demonstrates applications with strings and packed decimal arithmetic Uses assembly language to monitor and control electronic circuits Contains over 150 illustrations to accompany descriptions of digital circuits, Verilog code, and X86 code Includes all source code with a free download from GitHub

      



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