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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

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...

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