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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

Introducing matrices

Matrices are two-dimensional arrays, categorized by rows and columns. They are important in graphics manipulation and AI; namely, image recognition. Matrices are commonly used for graphics since the rows and columns that reside within a matrix can correspond to the row and column arrangement of pixels on a screen, as well as because we can have the matrix values correspond to a particular color. Matrices are also frequently used for digital sound processing as digital audio signals are filtered and compressed using Fourier transforms, and matrices help with performing these actions.

Matrices are usually denoted with an M × N naming scheme, where M is the number of rows in the matrix and N is the number of columns in the matrix, as shown in the following image:

The preceding image, for example, is a 3 x 3 matrix. An M x N matrix is one of the core tenants...

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