Book Image

Hands-On High Performance with Go

By : Bob Strecansky
Book Image

Hands-On High Performance with Go

By: Bob Strecansky

Overview of this book

Go is an easy-to-write language that is popular among developers thanks to its features such as concurrency, portability, and ability to reduce complexity. This Golang book will teach you how to construct idiomatic Go code that is reusable and highly performant. Starting with an introduction to performance concepts, you’ll understand the ideology behind Go’s performance. You’ll then learn how to effectively implement Go data structures and algorithms along with exploring data manipulation and organization to write programs for scalable software. This book covers channels and goroutines for parallelism and concurrency to write high-performance code for distributed systems. As you advance, you’ll learn how to manage memory effectively. You’ll explore the compute unified device architecture (CUDA) application programming interface (API), use containers to build Go code, and work with the Go build cache for quicker compilation. You’ll also get to grips with profiling and tracing Go code for detecting bottlenecks in your system. Finally, you’ll evaluate clusters and job queues for performance optimization and monitor the application for performance regression. By the end of this Go programming book, you’ll be able to improve existing code and fulfill customer requirements by writing efficient programs.
Table of Contents (20 chapters)
1
Section 1: Learning about Performance in Go
7
Section 2: Applying Performance Concepts in Go
13
Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind

Summary

In this chapter, we discussed matrices and vectors, alongside how these two data structures are used practically to perform much of the data manipulation that happens in computer science today. Also, we learned about BLAS, vectors, matrices, and vector/matrix manipulation. Vectors and matrices are building blocks that are commonly used for linear algebra, and we saw hard examples of where this can take place.

The examples we have discussed in this chapter will help us a lot in situations pertinent to real-world data manipulation. In Chapter 6, Composing Readable Go Code, we are going to talk about composing readable Go code. Being able to write readable Go code will help keep topics and ideas clear and succinct for easy collaboration across code contributors.