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)
Section 1: Learning about Performance in Go
Section 2: Applying Performance Concepts in Go
Section 3: Deploying, Monitoring, and Iterating on Go Programs with Performance in Mind

GPU-accelerated computing – utilizing the hardware

In today's modern computers, we have a couple of pieces of hardware that do most of the work for the system. The CPU performs most instructional operations from other parts of the computer and delivers the results of those operations. The memory is a fast, short-term location for data storage and manipulation. Hard disks are used for longer-term data storage and manipulation, and networking devices are used to send these bits of data between computing devices across a network. A device that is often also used in a modern computing system is a discrete GPU. Whether it is to display the latest computer games with high-fidelity graphics, decoding 4K video, or performing financial number-crunching, GPUs are becoming a more popular option for high-speed computing.

GPUs are designed for performing specific tasks in an...