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You're reading from Hands-On High Performance with Go Boost and optimize the performance of your Golang applications at scale with resilience

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781789805789

Length 406 pages

Edition 1st Edition

Languages

Tools

Boost

Concepts

High Performance Programming

Author (1):

Bob Strecansky

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Table of Contents (20) Chapters

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

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Introducing BLAS

A specification called BLAS is commonly used in order to perform linear algebra operations. This library was originally created as a FORTRAN library in 1979 and has been maintained since then. BLAS has many optimizations for performant manipulation of matrices. Because of the depth and breadth of this specification, many languages have chosen to use this specification as part of their linear algebra libraries within their domain. The Go Sparse library uses a BLAS implementation for its linear algebra manipulation. The BLAS specification is composed of three separate routines:

Level 1: Vector operations
Level 2: Matrix-vector operations
Level 3: Matrix-matrix operations

Having these leveled routines helps with the implementation and testing of this specification. BLAS has been used in many implementations, from Accelerate (macOS and iOS framework) to the Intel...

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Authors (1)

Strecansky

Bob Strecansky is a senior site reliability engineer. He graduated with a computer engineering degree from Clemson University with a focus on networking. He has worked in both consulting and industry jobs since graduation. He has worked with large telecom companies and much of the Alexa top 500. He currently works at Mailchimp, working to improve web performance, security, and reliability for one of the world's largest email service providers. He has also written articles for web publications and currently maintains the OpenTelemetry PHP project. In his free time, Bob enjoys tennis, cooking, and restoring old cars. You can follow Bob on the internet to hear musings about performance analysis: Twitter: @bobstrecansky GitHub: @bobstrecansky

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