- Mastering Concurrency in Python
- Quan Nguyen
- 59字
- 2021-06-10 19:23:59
A quick example
Let's assume that we have a computer program, and the following applies to it:
- 40% of it is subject to parallelism, so B = 1 - 40% = 0.6
- Its parallelizable parts will be processed by four processors, so j = 4
Amdahl's Law states that the overall speedup of applying the improvement will be as follows:

推薦閱讀
- 從零構建知識圖譜:技術、方法與案例
- Kibana Essentials
- Building Modern Web Applications Using Angular
- Python進階編程:編寫更高效、優(yōu)雅的Python代碼
- Python編程完全入門教程
- Learning ArcGIS for Desktop
- 程序設計基礎教程:C語言
- LabVIEW虛擬儀器程序設計從入門到精通(第二版)
- 時空數(shù)據(jù)建模及其應用
- C語言程序設計與應用(第2版)
- Unity Character Animation with Mecanim
- Instant Apache Camel Messaging System
- Mudbox 2013 Cookbook
- Elasticsearch搜索引擎構建入門與實戰(zhàn)
- Scala編程(第4版)