Julia high performance : optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond / Avik Sengupta.

Format:

Book

Author/Creator:

Sengupta, Avik, author.

Language:

English

Subjects (All):

Programming languages (Electronic computers).

Application software--Development.

Application software.

Physical Description:

1 online resource (210 pages)

Edition:

Second edition.

Place of Publication:

Birmingham, England ; Mumbai : Packt, [2019]

Biography/History:

Sengupta Avik: Avik Sengupta is the Vice President of engineering at Julia Computing, contributor to open source Julia and maintainer of several Julia packages. Avik is the co-founder of two startups in the financial services and AI sectors and creator of large complex trading systems for the world's leading investment banks. Prior to Julia Computing, Avik was co-founder and CTO at AlgoCircle and at Itellix, director at Lab49 and head of algorithmic solutions at Decimal Point Analytics. Avik earned his MS in Computational Finance at Carnegie Mellon and MBA Finance at the Indian Institute of Management in Bangalore.

Summary:

Design and develop high-performance programs in Julia 1.0Key FeaturesLearn the characteristics of high-performance Julia codeUse the power of the GPU to write efficient numerical codeSpeed up your computation with the help of newly introduced shared memory multi-threading in Julia 1.0Book DescriptionJulia 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.What you will learnUnderstand how Julia code is transformed into machine codeMeasure the time and memory taken by Julia programsCreate fast machine code using Julia s type informationDefine and call functions without compromising Julia s performanceAccelerate your code via the GPUUse tasks and asynchronous IO for responsive programsRun Julia programs on large distributed clustersWho this book is forThis book is for beginners and intermediate Julia programmers who are interested in high-performance technical programming. A basic knowledge of Julia programming is assumed.

Contents:

Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond

Notes:

Description based on print version record.

ISBN:

9781788292306

1788292308

OCLC:

1266662681