- Delphi High Performance
- Primo? Gabrijelcic
- 313字
- 2021-06-24 19:22:58
Different types of speed
It is obvious from the previous example that we don't always mean the same thing when we talk about a program's speed. There is a real speed, as in the database example, and there is a perceived speed, hinted at in the document editor and game scenario. Sometimes we don't need to improve the program speed at all. We just have to make it not stutter while working (by making the user interface responsive at all times) and users will be happy.
We will deal with two types of performance in this book:
- Programs that react quickly to user input
- Programs that perform computations quickly
As you'll see, the techniques to achieve the former and the latter are somehow different. To make a program react quickly, we can sometimes just put a long operation (as was the calculation of the next move in the fictitious game) into a background thread. The code will still run as long as in the original version but the user interface won't be blocked and everybody will be happy.
To speed up a program (which can also help with a slowly-reacting user interface), we can use different techniques, from changing the algorithm to changing the code so that it will use more than one CPU at once to using a hand-optimized version, either written by us or imported from an external library.
To do anything, we have to know which part of the code is causing a problem. If we are dealing with a big legacy program, problematic part may be hard to find. In the rest of this chapter, we will look at different ways to locate such code. We'll start by taking an educated guess and then we'll improve that by measuring the code speed, first by using home-grown tools and then with a few different open source and commercial programs.
- 大規模數據分析和建模:基于Spark與R
- Hands-On Machine Learning with Microsoft Excel 2019
- 算法與數據中臺:基于Google、Facebook與微博實踐
- 數亦有道:Python數據科學指南
- 智能數據分析:入門、實戰與平臺構建
- Spark大數據分析實戰
- 智慧的云計算
- Hadoop集群與安全
- 視覺大數據智能分析算法實戰
- Augmented Reality using Appcelerator Titanium Starter
- R Object-oriented Programming
- Spring MVC Beginner’s Guide
- 數據分析思維:產品經理的成長筆記
- 數據挖掘與機器學習-WEKA應用技術與實踐(第二版)
- 代碼的未來