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

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...