Book Image

The Art of Writing Efficient Programs

By : Fedor G. Pikus
3 (2)
Book Image

The Art of Writing Efficient Programs

3 (2)
By: Fedor G. Pikus

Overview of this book

The great free lunch of "performance taking care of itself" is over. Until recently, programs got faster by themselves as CPUs were upgraded, but that doesn't happen anymore. The clock frequency of new processors has almost peaked, and while new architectures provide small improvements to existing programs, this only helps slightly. To write efficient software, you now have to know how to program by making good use of the available computing resources, and this book will teach you how to do that. The Art of Efficient Programming covers all the major aspects of writing efficient programs, such as using CPU resources and memory efficiently, avoiding unnecessary computations, measuring performance, and how to put concurrency and multithreading to good use. You'll also learn about compiler optimizations and how to use the programming language (C++) more efficiently. Finally, you'll understand how design decisions impact performance. By the end of this book, you'll not only have enough knowledge of processors and compilers to write efficient programs, but you'll also be able to understand which techniques to use and what to measure while improving performance. At its core, this book is about learning how to learn.
Table of Contents (18 chapters)
1
Section 1 – Performance Fundamentals
7
Section 2 – Advanced Concurrency
11
Section 3 – Designing and Coding High-Performance Programs

Chapter 3: CPU Architecture, Resources, and Performance

With this chapter, we begin the exploration of the computing hardware: we want to know how to use it optimally and squeeze the best performance from out of it. The first hardware component we have to learn about is the central processor. The CPU does all the computations, and if we are not using it efficiently, nothing is going to save our slow, poorly performing program. This chapter is dedicated to learning about CPU resources and capabilities, the optimal ways to use them, the more common reasons for not making the best use of CPU resources, and how to resolve them.

In this chapter, we're going to cover the following main topics:

  • The architecture of modern CPUs
  • Using internal concurrency of the CPUs for optimum performance
  • CPU pipelines and speculative execution
  • Branch optimization and branchless computing
  • How to evaluate whether a program uses CPU resources efficiently