Julia High Performance 2/e

Julia High Performance 2/e

作者: Avik Sengupta
出版社: Packt Publishing
出版在: 2019-06-11
ISBN-13: 9781788298117
ISBN-10: 178829811X
裝訂格式: Paperback
總頁數: 236 頁





內容描述


Key Features

Learn to code high reliability and high performance programs
Stand out from the crowd by developing code that runs faster than your peers' codes
Monitor the performance, Code Quality, & Resource Optimizations

Book Description
Julia is a high-level, high-performance dynamic programming language for numerical computing. It was created to solve the dilemma between high-level slow code and fast but low-level code, and the necessity to use both to achieve high performance.
If you want to understand how to avoid bottlenecks, and design your program for the highest possible performance, then this book is for you.
Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing - you will see how Julia's design makes them fast. Towards the end, you will get a taste of Julia's multithreading and distributed computing capabilities.
By the end, you will have the ability to build large scale high performance Julia applications, design systems with focus on speed, and improve performance of existing codebases.
What you will learn

Understand how Julia code is transformed into machine code
Learn the characteristics of high performance Julia code
Measure the time and memory taken by Julia programs
Create fast machine code using Julia's type information
Define and call functions without compromising Julia's performance
Understand number types in Julia
Use Julia arrays to write high performance code
Accelerate your code with the GPU
Use Tasks and async IO for responsive programs
Run Julia programs on large distributed cluster




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