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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

Matrix operations

Matrices are a good way to store a large amount of information in an efficient manner, but the manipulation of matrices is where the real value of matrices is derived from. The most commonly used matrix manipulation techniques are as follows:

  • Matrix addition
  • Matrix scalar multiplication
  • Matrix transposition
  • Matrix multiplication

Being able to perform these actions on matrices is important as they can help with real-world data manipulation at scale. We will take a look at some of these operations, as well as practical applications of them, in the following sections.

Matrix addition

Matrix addition is the method in which we add two matrices together. Perhaps we want to find the resulting value of the summation...

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