ODBIERZ TWÓJ BONUS :: »

Julia High Performance. Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond - Second Edition Avik Sengupta

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Julia High Performance. Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond - Second Edition Avik Sengupta - okladka książki

Julia High Performance. Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond - Second Edition Avik Sengupta - okladka książki

Julia High Performance. Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond - Second Edition Avik Sengupta - audiobook MP3

Julia High Performance. Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond - Second Edition Avik Sengupta - audiobook CD

Autor:
Avik Sengupta
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
218
Dostępne formaty:
     PDF
     ePub
     Mobi
Ebook
85,49 zł 94,99 zł (-10%)
80,91 zł najniższa cena z 30 dni

Dodaj do koszyka Dostępny natychmiast po opłaceniu zakupu lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

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.

Wybrane bestsellery

O autorze książki

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.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki
Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
85,49 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint