Modern X86 Assembly Language Programming: 32-bit, 64-bit, SSE, and AVX

Kusswurm, Daniel

ISBN 10: 1484200659 / ISBN 13: 9781484200650

Published by Apress, 2014

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Bibliographic Details

• Title: Modern X86 Assembly Language Programming: 32-bit, 64-bit, SSE, and AVX
• Publisher: Apress
• Publication Date: 2014
• Language: English
• ISBN 10: 1484200659
• ISBN 13: 9781484200650
• Binding: Paperback
• Condition: new

About this title

Synopsis

Modern X86 Assembly Language Programming shows the fundamentals of x86 assembly language programming. It focuses on the aspects of the x86 instruction set that are most relevant to application software development. The book's structure and sample code are designed to help the reader quickly understand x86 assembly language programming and the computational capabilities of the x86 platform. 

Please note: Book appendixes can be downloaded here: http://www.apress.com/9781484200650

Major topics of the book include the following:

• 32-bit core architecture, data types, internal registers, memory addressing modes, and the basic instruction set
• X87 core architecture, register stack, special purpose registers, floating-point encodings, and instruction set
• MMX technology and instruction set
• Streaming SIMD extensions (SSE) and Advanced Vector Extensions (AVX) including internal registers, packed integer arithmetic, packed and scalar floating-point arithmetic, and associated instruction sets
• 64-bit core architecture, data types, internal registers, memory addressing modes, and the basic instruction set
• 64-bit extensions to SSE and AVX technologies
• X86 assembly language optimization strategies and techniques

About the Author

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.