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

Summary

In this chapter, we have covered the first of the two large areas of C++ efficiency from the language standpoint: avoiding inefficient language constructs, which boils down to not doing unnecessary work. Many optimization techniques we have studied dovetail with the material we studied earlier, such as the efficiency of accessing memory and avoiding false sharing in concurrent programs.

The big dilemma every programmer faces is how much work should be invested upfront into writing efficient code and what should be left to incremental optimization. Let us begin by saying that high performance begins at the design stage: designing the architecture and the interfaces that do not lock in poor performance and inefficient implementations is the most important effort in developing high-performance software.

Beyond that, the distinction should be made between premature optimization and unnecessary pessimization. Creating temporary variables to avoid aliasing is premature unless...