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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

Cgo – writing C in Go

Cgo is a library that is built into the standard library of Go that allows users to invoke calls to underlying C programs in their Go code. Cgo is often used as a delegator for things that are currently coded in C but don't have equivalent Go code written.

Cgo should be used sparingly and only when there isn't an equivalent Go library available for a system. Cgo adds a few limitations to your Go programs:
  • Needless complexity
  • Difficulty troubleshooting
  • Added complexity of building and compiling C code
  • Much of Go's tooling is not available for use in Cgo programs
  • Cross-compiling doesn't work as expected or at all
  • The complexity of C code
  • Native Go calls are much faster than Cgo calls
  • Slower build times

If you can (or must) live with all of these stipulations, Cgo may be a necessary resource for the project that you're working...

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