An Introduction to Assembly Programming

There are three main reasons for writing this book. While several assembly language books are on the market, almost all of them cover only the 8086 processor-a 16-bit processor Intel introduced in 1979. A modem computer organization or assembly language course requires treatment of a more recent processor like the Pentium, which is a 32-bit processor in the Intel family. This is one of the main motivations for writing this book. There are two other equally valid reasons. The book approaches assembly language programming from the high-level language viewpoint. As a result, it focuses on the assembly language features that are required to efficiently implement high-level language constructs. Performance is another reason why people program in assembly language. This is particularly true with real-time application programming. Our treatment of assembly language programming is oriented toward performance optimiza­ tion. Every chapter ends with a performance section that discusses the impact of specific sets of assembly language statements on the performance of the whole program. Put another way, this book focuses on performance-oriented assembly language programming. Intended Use This book is intended as an introduction to assembly language programming using the Intel 80X86 family of processors. We have selected the assembly language of the Intel 80X86 processors (including the Pentium processor) be­ cause of the widespread availability of PCs and assemblers. Both Microsoft and Borland provide assemblers for the PCs.

An introduction to assembly programming using the x86 programming language with NASM

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm.

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm.