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Effective Concurrency in Go

You're reading from   Effective Concurrency in Go Develop, analyze, and troubleshoot high performance concurrent applications with ease

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804619070
Length 212 pages
Edition 1st Edition
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Author (1):
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Burak Serdar Burak Serdar
Author Profile Icon Burak Serdar
Burak Serdar
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Concurrency – A High-Level Overview 2. Chapter 2: Go Concurrency Primitives FREE CHAPTER 3. Chapter 3: The Go Memory Model 4. Chapter 4: Some Well-Known Concurrency Problems 5. Chapter 5: Worker Pools and Pipelines 6. Chapter 6: Error Handling 7. Chapter 7: Timers and Tickers 8. Chapter 8: Handling Requests Concurrently 9. Chapter 9: Atomic Memory Operations 10. Chapter 10: Troubleshooting Concurrency Issues 11. Index 12. Other Books You May Enjoy

Concurrency and parallelism

There was probably a time when concurrency and parallelism meant the same thing in computer science. That time is long gone now. Many people will tell you what concurrency is not: “concurrency is not parallelism,” but when it comes to telling what concurrency is, a simple definition is usually elusive. Different definitions of concurrency give different aspects of the concept because concurrency is not how the real world works. The real world works with parallelism. I will try to summarize some of the core ideas behind concurrency, hoping you can understand the abstract nature of it well enough so that you can apply it to solve practical problems.

Many things around us act independently at the same time. There are probably people around you minding their own business, and sometimes, they interact with you and with each other. All these things happen in parallel, so parallelism is the natural way of thinking about multiple independent things...

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