Hands-On High Performance Programming with Qt 5
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Summary

We've seen in this chapter a whole slew of optimization techniques applied either by compilers or left for programmers to use. After such exposure to cool tricks like these, you can forget the big picture, hence it is expedient at this point to restate the basic truths.

Herewith, we (again) state that for performance, only three things really matter: the first is the correct choice of algorithm; the second is correct parallelization and the avoidance of blocking calls; and the third is attention to data locality. The remainder of the tricks, and hence all of the little helpers discussed in this chapter, are potentially useful, but only on a case-by-case basis when a bottleneck has already been identified. Otherwise, we would be sailing in the dangerous waters of premature optimization!

After that periodic reminder, let's recall what we learned in this chapter. We discussed the following topics:

  • The zero-overhead principle and its violations
  • Temporary objects in C++
  • Custom memory managers
  • Some template tricks
  • C++11 features, such as move semantics and constexpr functions
  • Compiler tricks and optimizations
  • Whole program optimization

The next chapter will cover the greatest cause of poor performance—the choice of correct data structures and algorithms. We will have a look at the data structures that Qt provides, discuss their peculiarities, and provide guidelines for their efficient usage. We will also restate the basic advice for choosing the right algorithm and we will review the use of C++ standard containers from the point of view of performance.