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 1: Introduction to Performance and Concurrency

Motivation is a key ingredient of learning; thus, you must understand why, with all the advances in computing, a programmer still has to struggle to get adequate performance from their code and why success requires a deep understanding of computing hardware, programming language, and compiler capabilities. The aim of this chapter is to explain why this understanding is still necessary today.

This chapter talks about the reasons we care about the performance of programs, specifically about the reasons good performance doesn't just happen. We will learn why, in order to achieve the best performance, or sometimes even adequate performance, it is important to understand the different factors affecting performance, and the reasons for a particular behavior of the program, whether it is fast execution or slow.

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

  • Why performance matters
  • Why performance requires the programmer's attention
  • What do we mean by performance?
  • How to evaluate the performance
  • Learning about high performance