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The authors introduce the concept of the stored-program computer, a revolutionary idea where instructions and data are stored in memory, and the CPU fetches, decodes, and executes these instructions. This forms the basis of the von Neumann architecture, a cornerstone of modern computing. The von Neumann model is characterized by its sequential execution of instructions and its unified memory space for both data and programs. The chapter explains how this architecture enables the flexibility and programmability that define modern computers.
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A significant portion of the chapter is dedicated to the concept of performance in computer systems. The authors introduce metrics like response time (the time it takes to complete a task) and throughput (the number of tasks completed per unit of time). They explain how these metrics are influenced by hardware and software optimizations, such as faster processors, larger memory, and efficient algorithms. The chapter also touches on the trade-offs involved in improving performance, such as the cost, power consumption, and complexity of hardware components.
The chapter emphasizes the importance of instruction set architecture (ISA), which serves as the interface between hardware and software. The ISA defines the set of instructions that a CPU can execute, as well as the registers, memory addressing modes, and data types it supports. Understanding the ISA is crucial for both hardware designers, who implement it, and software developers, who write programs that run on it.
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