Kusswurm | Modern X86 Assembly Language Programming | E-Book | sack.de
E-Book

E-Book, Englisch, 604 Seiten

Reihe: Professional and Applied Computing

Kusswurm Modern X86 Assembly Language Programming

Covers x86 64-bit, AVX, AVX2, and AVX-512
2. Auflage 2018
ISBN: 978-1-4842-4063-2
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark

Covers x86 64-bit, AVX, AVX2, and AVX-512

E-Book, Englisch, 604 Seiten

Reihe: Professional and Applied Computing

ISBN: 978-1-4842-4063-2
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark



Gain the fundamentals of x86 64-bit assembly language programming and focus on

the updated aspects of the x86 instruction set that are most relevant to application

software development. This book covers topics including x86 64-bit programming and

Advanced Vector Extensions (AVX) programming.

The focus in this second edition is exclusively on 64-bit base programming architecture

and AVX programming. Modern X86 Assembly Language Programming’s structure and

sample code are designed to help you quickly understand x86 assembly language

programming and the computational capabilities of the x86 platform. After reading

and using this book, you’ll be able to code performance-enhancing functions and

algorithms using x86 64-bit assembly language and the AVX, AVX2 and AVX-512

instruction set extensions.

What You Will Learn

  • Discover details of the x86 64-bit platform including its core architecture, data types,
  • registers, memory addressing modes, and the basic instruction set
  • Use the x86 64-bit instruction set to create performance-enhancing functions that
  • are callable from a high-level language (C++)
  • Employ x86 64-bit assembly language to efficiently manipulate common data types
  • and programming constructs including integers, text strings, arrays, and structures
  • Use the AVX instruction set to perform scalar floating-point arithmetic
  • Exploit the AVX, AVX2, and AVX-512 instruction sets to significantly accelerate the
  • performance of computationally-intense algorithms in problem domains such as
  • image processing, computer graphics, mathematics, and statistics
  • Apply various coding strategies and techniques to optimally exploit the x86 64-bit,
  • AVX, AVX2, and AVX-512 instruction sets for maximum possible performance

Who This Book Is For  

Software developers who want to learn how to write code using x86 64-bit assembly language. It’s also ideal for software developers who already have a basic understanding of x86 32-bit or 64-bit assembly language programming and are interested in learning how to exploit the SIMD capabilities of AVX, AVX2 and AVX-512.



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Weitere Infos & Material


Chapter 1 – 64-bit Architecture.- Chapter 2 – 64-bit Architecture Programming – Part 1.- Chapter 3- 64-bit Architecture Programming – Part 2.- Chapter 4 – Advanced Vector Extensions (AVX).- Chapter 5 – AVX Programming – Scalar Floating-Point.- Chapter 6 – AVX Programming – Packed Floating-Point.- Chapter 7 – AVX Programming – Packed Integers.- Chapter 8 – Advanced Vector Extensions 2 (AVX2).- Chapter 9 – AVX2 Programming – Packed Floating-Point.- Chapter 10 – AVX2 Programming – Packed Integers.- Chapter 11 – AVX2 Programming – Enhanced Feature Set Instructions.- Chapter 12 – Advanced Vector Extensions 512 (AVX-512).- Chapter 13 – AVX-512 Programming – Packed Floating-Point.- Chapter 14 – AVX-512 Programming – Packed Integers.- Chapter 15 – Optimization Strategies and Techniques.- Chapter 16 – Advanced Programming Examples.- Appendix A.


Daniel Kusswurm has over 30 years of professional experience as a software developer and computer scientist. During his career, he has developed innovative software for medical devices, scientific instruments, and image processing applications. On most of these projects, he successfully employed x86 assembly language to significantly improve the performance of computationally-intense algorithms or solve unique programming challenges. His educational background includes a BS in electrical engineering technology along with an MS and PhD in computer science.



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