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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

Memory Management in Go

Memory management is paramount to system performance. Being able to utilize a computer's memory footprint to the fullest allows you to keep highly functioning programs in memory so that you don't often have to take the large performance hit of swapping to disk. Being able to manage memory effectively is a core tenet of writing performant Go code. In this chapter, we will learn about the following topics:

  • Computer memory
  • How memory is allocated
  • How Go utilizes memory effectively
  • How objects are allocated in memory
  • Strategies for computing devices with limited memory

Understanding how memory is utilized can help you learn to utilize memory effectively in your programs. Memory is one of the fastest places in the computer to store and manipulate data, so being able to manage it performantly will have a lasting impact on your code quality.

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