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Hands-On High Performance with Go

You're reading from   Hands-On High Performance with Go Boost and optimize the performance of your Golang applications at scale with resilience

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789805789
Length 406 pages
Edition 1st Edition
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Author (1):
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Bob Strecansky Bob Strecansky
Author Profile Icon Bob Strecansky
Bob Strecansky
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Learning about Performance in Go
2. Introduction to Performance in Go FREE CHAPTER 3. Data Structures and Algorithms 4. Understanding Concurrency 5. STL Algorithm Equivalents in Go 6. Matrix and Vector Computation in Go 7. Section 2: Applying Performance Concepts in Go
8. Composing Readable Go Code 9. Template Programming in Go 10. Memory Management in Go 11. GPU Parallelization in Go 12. Compile Time Evaluations in Go 13. Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind
14. Building and Deploying Go Code 15. Profiling Go Code 16. Tracing Go Code 17. Clusters and Job Queues 18. Comparing Code Quality Across Versions 19. Other Books You May Enjoy

Exploring goroutines

Go is a language designed with concurrency in mind. Concurrency is the ability to execute independent processes. Goroutines are a construct in Go that can help with concurrency. They are often referred to as lightweight threads—for good reason. In other languages, threads are handled by the OS. This, in turn, uses a larger-sized call stack and usually handles less concurrency with a given memory stack size. Goroutines are functions or methods that run within the Go runtime concurrently and don't connect to the underlying OS. The scheduler within the Go language manages goroutines' life cycles. The system's scheduler has a lot of overhead as well, so limiting the number of threads being utilized can help to improve performance.

The Go scheduler...

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