Title Statements
- Full title :Julia High Performance : Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond / Sengupta, Avik.
Summary
BDesign and develop high-performance programs in Julia 1.0/b h4Key Features/h4 ul liLearn the characteristics of high-performance Julia code /li liUse the power of the GPU to write efficient numerical code /li liSpeed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0 /li /ul h4Book Description/h4 Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster. By the end of this book, you will have the ability to build large-scale, high-performance Julia applications, design systems with a focus on speed, and improve the performance of existing programs. h4What you will learn/h4 ul liUnderstand how Julia code is transformed into machine code /li liMeasure the time and memory taken by Julia programs /li liCreate fast machine code using Julia's type information /li liDefine and call functions without compromising Julia's performance /li liAccelerate your code via the GPU /li liUse tasks and asynchronous IO for responsive programs /li liRun Julia programs on large distributed clusters/li/ul h4Who this book is for/h4 This book is for beginners and intermediate Julia programmers who are interested in high-performance technical programming. A basic knowledge of Julia programming is assumed.
Read More ↓Edition Statements
- Publication Date:2019
- Edition:2
Publication Statements
- Publisher(s):Packt Publishing, Limited
- Place of Publication:Birmingham
- Language:eng
- Publication Date:2019
The Physical Object
- Description:1 Online-Ressource (218 S.)
Edition Identifiers
- ISBN:9781788292306, 1788292308
- oclc:on1241687173
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