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Julia High Performance - Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R883
Discovery Miles 8 830
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Julia High Performance - Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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Design and develop high-performance programs in Julia 1.0 Key
Features Learn the characteristics of high-performance Julia code
Use the power of the GPU to write efficient numerical code Speed up
your computation with the help of newly introduced shared memory
multi-threading in Julia 1.0 Book 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 learn Understand how Julia code
is transformed into machine 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 Accelerate your code via the GPU Use tasks and
asynchronous IO for responsive programs Run Julia programs on large
distributed clusters Who 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.
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