Book Image

Computer Architecture with Python and ARM

By : Alan Clements
Book Image

Computer Architecture with Python and ARM

By: Alan Clements

Overview of this book

This comprehensive guide offers a unique and immersive learning experience by combining Python programming with ARM architecture. Starting with an introduction to computer architecture and the flow of data within a computer system, you’ll progress to building your own interpreter using Python. You’ll see how this foundation enables the simulation of computer operations and learn ways to enhance a simulator by adding new instructions and displaying improved results. As you advance, you’ll explore the TC1 Assembler and Simulator Program to gain insights into instruction analysis and explore practical examples of simulators. This will help you build essential skills in understanding complex computer instructions, strengthening your grasp of computer architecture. Moreover, you’ll be introduced to the Raspberry Pi operating system, preparing you to delve into the detailed language of the ARM computer. This includes exploring the ARM instruction set architecture, data-processing instructions, subroutines, and the stack. With clear explanations, practical examples, and coding exercises, this resource will enable you to design and construct your own computer simulator, simulate assembly language programs, and leverage the Raspberry Pi for ARM programming.
Table of Contents (18 chapters)
1
Part 1: Using Python to Simulate a Computer
Free Chapter
2
Chapter 1: From Finite State Machines to Computers
10
Part 2: Using Raspberry Pi to Study a Real Computer Architecture

Summary

In this chapter, we’ve extended our knowledge of Python and introduced or expanded some of the features that demonstrate its power and versatility. For example, we’ve looked at the list and the string, the two data structures that are of most importance to us. We’ve also expanded on the use of loops and other repetitive structures.

We’ve introduced the dictionary, a delightfully elegant data structure that enables us to locate information by a key that describes it, rather than its location in the directory. For example, if we want to convert instruction names into binary op-code, we can create a dictionary and just look up the appropriate code for any mnemonic. This feature really does simplify the design of interpreters and assemblers.

We’ve also looked at one of Python’s more unusual features: list comprehensions. These take a little getting used to, but they can make it much easier to process the text of assembly language...