Modern X86 Assembly Language Programming

1. Front Matter

   Pages i-xxi

   PDF

2. X86-64 Core Architecture

   • Daniel Kusswurm

   Pages 1-19

3. X86-64 Core Programming – Part 1

   • Daniel Kusswurm

   Pages 21-49

4. X86-64 Core Programming – Part 2

   • Daniel Kusswurm

   Pages 51-86

5. Advanced Vector Extensions

   • Daniel Kusswurm

   Pages 87-107

6. AVX Programming – Scalar Floating-Point

   • Daniel Kusswurm

   Pages 109-166

7. AVX Programming – Packed Floating-Point

   • Daniel Kusswurm

   Pages 167-214

8. AVX Programming – Packed Integers

   • Daniel Kusswurm

   Pages 215-275

9. Advanced Vector Extensions 2

   • Daniel Kusswurm

   Pages 277-284

10. AVX2 Programming – Packed Floating-Point

    • Daniel Kusswurm

    Pages 285-346

11. AVX2 Programming – Packed Integers

    • Daniel Kusswurm

    Pages 347-384

12. AVX2 Programming – Extended Instructions

    • Daniel Kusswurm

    Pages 385-419

13. Advanced Vector Extensions 512

    • Daniel Kusswurm

    Pages 421-432

14. AVX-512 Programming – Floating-Point

    • Daniel Kusswurm

    Pages 433-490

15. AVX-512 Programming – Packed Integers

    • Daniel Kusswurm

    Pages 491-528

16. Optimization Strategies and Techniques

    • Daniel Kusswurm

    Pages 529-540

17. Advanced Programming

    • Daniel Kusswurm

    Pages 541-584

18. Back Matter

    Pages 585-604

    PDF

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.

• assembly
• x86
• programming
• 32-bit
• 64-bit
• language
• code
• source
• avx
• simd
• streaming
• avx-512
• algorithm analysis and problem complexity

• Geneva, USA

  Daniel Kusswurm

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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