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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

Understanding memory utilization

Once we have our initial binary, we start building on the knowledge that we have of the ELF format to continue our understanding of memory utilization. The text, data, and bss fields are a foundation on which the heap and stack are laid. The heap begins at the end of the .bss and .data bits and grows continuously to form larger memory addresses.

The stack is an allocation of contiguous blocks of memory. This allocation happens automatically within the function call stack. When a function is called, its variables get memory allocated on the stack. After the function call is completed, the variable's memory is deallocated. The stack has a fixed size and can only be determined at compile time. Stack allocation is inexpensive from an allocation perspective because it only needs to push to the stack and pull from the stack for allocation.

The heap...

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