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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 Modern Computer Memory - A Primer

Modern computers have Random Access Memory (RAM), which is utilized in machine code and data storage. RAM is used alongside the CPU and hard disks in order to store and retrieve information. Utilizing the CPU, RAM, and disks has performance trade-offs. In a modern computer at the time of writing, we have the following generic, rounded timings for some common operations in computers:

Data Storage Type

Timing

L1 (Processor Cache) Reference

1 ns

L2 (Processor Cache) Reference

4 ns

Main Memory Reference

100 ns

SSD Random Read

16 μs

7200 RPM HDD Disk Seek

2 ms

As you'll notice from the table, the different storage types have wildly differing timings for different portions of a modern computer's architecture. New computers have KBs of L1 cache, MBs of L2 cache, GBs of main memory...

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