- Delphi High Performance
- Primo? Gabrijelcic
- 381字
- 2021-06-24 19:23:01
Fixing the Algorithm
In the previous chapter, we explored the concept of performance and looked at different scenarios where we would like to make the program faster. The previous chapter was largely theoretical, but now is the time to look at it in a more practical way.
There are two main approaches to speeding up a program:
- Replace the algorithm with a better one.
- Fine-tune the code so that it runs faster.
I spent lots of time in the previous chapter discussing the time complexity simply to make it clear that a difference between two algorithms can result in impressive speed-up. It can be much more than a simple constant factor (such as a 10-times speed-up). If we go from an algorithm with bad time complexity (say, O(n2)) to an algorithm with a better behavior (O(n log n), for example), then the difference in speed becomes more and more noticeable when we increase the size of the data.
Saying all that, it should not be surprising that I prefer the first approach (fixing the algorithm) to the second one (fine-tuning the code). To continue this point, this chapter will deal with several practical examples on speeding up the code by changing the algorithm.
Firstly, we will look at user interfaces. As we can't speed up VCL or Windows by fine-tuning the code (simply because we cannot modify that code), any speed-up in user interface responsiveness can only be a result of a better algorithm.
After that, I'll introduce the concept of caching. This approach can help you when everything else fails. Maybe it is not possible to change an algorithm, but introducing a cache of frequently-calculated values can still improve the code speed drastically.
As implementing a fast cache is quite a tricky business, I'll also present a generic cache class which you can use freely in your own code.
Before concluding the chapter, I'll look at Mr. Smith's SlowCode example and try to speed it up by implementing a better algorithm.
We will cover the following topics in this chapter:
- Writing responsive user interfaces
- How to update VCL and FMX controls without waiting
- Speeding up functions by introducing caching
- How to implement a reusable generic caching class
- How to analyze and improve an unknown algorithm
- SQL Server入門經典
- 卷積神經網絡的Python實現
- PySpark大數據分析與應用
- 大數據算法
- Ceph源碼分析
- Python金融實戰
- Oracle 12c云數據庫備份與恢復技術
- 辦公應用與計算思維案例教程
- INSTANT Android Fragmentation Management How-to
- Hadoop大數據開發案例教程與項目實戰(在線實驗+在線自測)
- Unity 2018 By Example(Second Edition)
- Visual Studio 2012 and .NET 4.5 Expert Development Cookbook
- 大數據隱私保護技術與治理機制研究
- Arquillian Testing Guide
- 數據庫原理及應用實驗:基于GaussDB的實現方法