In this chapter, we have learned about many of the basic constructs that are used for iterators and generators in Go. Understanding anonymous functions and closures helped us to build foundational knowledge about how these functions work. We then learned how goroutines and channels work, and how to implement them fruitfully. We also learned about semaphores and WaitGroups, as well as how they play into the language. Understanding these skills will help us to parse through information in our computer programs in a more effective manner, allowing for more concurrent data manipulation. In Chapter 4, STL Algorithm Equivalents in Go, we'll learn about practical implementations of the Standard Templating Library (STL) in Go.
Hands-On High Performance with Go
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Hands-On High Performance with Go
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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.
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Current Title:
Hands-On High Performance with Go
Table of Contents (20 chapters)
Preface
Section 1: Learning about Performance in Go
Free Chapter
Introduction to Performance in Go
Data Structures and Algorithms
Understanding Concurrency
STL Algorithm Equivalents in Go
Matrix and Vector Computation in Go
Section 2: Applying Performance Concepts in Go
Composing Readable Go Code
Template Programming in Go
Memory Management in Go
GPU Parallelization in Go
Compile Time Evaluations in Go
Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind
Building and Deploying Go Code
Profiling Go Code
Tracing Go Code
Clusters and Job Queues
Comparing Code Quality Across Versions
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