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40 Algorithms Every Programmer Should Know

You're reading from  40 Algorithms Every Programmer Should Know

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781789801217
Pages 382 pages
Edition 1st Edition
Languages
Author (1):
Imran Ahmad Imran Ahmad
Profile icon Imran Ahmad
Toc

Table of Contents (19) Chapters close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Recommendation Engines 13. Section 3: Advanced Topics
14. Data Algorithms 15. Cryptography 16. Large-Scale Algorithms 17. Practical Considerations 18. Other Books You May Enjoy

The design of parallel algorithms

It is important to note that parallel algorithms are not a silver bullet. Even the best designed parallel architectures may not give the performance that we may expect. One law that is widely used to design parallel algorithms is Amdahl's law.

Amdahl's law 

Gene Amdahl was one of the first people who studied parallel processing in the 1960s. He proposed Amdahl's law, which is still applicable today and can become a basis to understand the various trade-offs involved when designing a parallel computing solution. Amdahl's law can be explained as follows:

It is based on the concept that in any computing process, not all of the processes can be executed in parallel. There...

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