Pyeatt / Ughetta | ARM 64-Bit Assembly Language | Buch | 978-0-12-819221-4 | www.sack.de

Buch, Englisch, 506 Seiten, Format (B × H): 234 mm x 193 mm, Gewicht: 1000 g

Pyeatt / Ughetta

ARM 64-Bit Assembly Language


Erscheinungsjahr 2019
ISBN: 978-0-12-819221-4
Verlag: Elsevier Science & Technology

Buch, Englisch, 506 Seiten, Format (B × H): 234 mm x 193 mm, Gewicht: 1000 g

ISBN: 978-0-12-819221-4
Verlag: Elsevier Science & Technology


ARM 64-Bit Assembly Language carefully explains the concepts of assembly language programming, slowly building from simple examples towards complex programming on bare-metal embedded systems. Considerable emphasis is put on showing how to develop good, structured assembly code. More advanced topics such as fixed and floating point mathematics, optimization and the ARM VFP and NEON extensions are also covered. This book will help readers understand representations of, and arithmetic operations on, integral and real numbers in any base, giving them a basic understanding of processor architectures, instruction sets, and more.

This resource provides an ideal introduction to the principles of 64-bit ARM assembly programming for both the professional engineer and computer engineering student, as well as the dedicated hobbyist with a 64-bit ARM-based computer.

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Weitere Infos & Material


Chapter 1: Introduction

Chapter 2: GNU assembly syntax

Chapter 3: Load/store and branch instructions

Chapter 4: Data processing and other instructions

Chapter 5: Structured programming

Chapter 6: Abstract data types

Chapter 7: Integer mathematics

Chapter 8: Non-integral mathematics

Chapter 9: Floating point

Chapter 10: Advanced SIMD instructions

Chapter 11: Devices

Chapter 12: Running without an operating system


Ughetta, William
William Ughetta is an undergraduate Computer Science major at Princeton University. His experience programming ARM assembly language started in high school and continued in college. He looks forward to the increasingly-relevant role of ARM 64-BIT assembly in personal computing and servers.

Pyeatt, Larry D
Larry Pyeatt earned his doctorate in Computer Science, focusing on Artificial Intelligence, from Colorado State University in 1999. He spent 13 years as a professor at Texas Tech University before moving to the South Dakota School of Mines and Technology in 2012. He has programmed in over 15 assembly languages, from mainframes to 8-bit embedded systems, and teaches a variety of courses including assembly language, operating systems, computer architecture, and probabilistic artificial intelligence.



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