Sengupta / Edelman Julia High Performance

Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond
2. Auflage 2019
ISBN: 978-1-78829-230-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 218 Seiten

No detailed description available for "Julia High Performance".

Autoren/Hrsg.

Sengupta, Avik

Edelman, Alan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Julia is Fast
- Analyzing Performance
- Type, Type Inference, and Stability
- Making Fast Function Calls
- Fast Numbers
- Using Arrays
- Accelerating code with the GPU
- Concurrent programming with Tasks
- Threads
- Distributed Computing with Julia

Über Autor(innen)

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.