Tuomanen Hands-On GPU Programming with Python and CUDA

Explore high-performance parallel computing with CUDA
1. Auflage 2018
ISBN: 978-1-78899-522-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 310 Seiten

No detailed description available for "Hands-On GPU Programming with Python and CUDA".

Autoren/Hrsg.

Tuomanen, Dr. Brian

Tuomanen, Brian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - Why GPU Programming?
- Setting Up Your GPU Programming Environment
- Getting Started with PyCUDA
- Kernels, Threads, Blocks, and Grids
- Streams, Events, Contexts, and Concurrency
- Debugging and Profiling Your CUDA Code
- Using the CUDA Libraries with Scikit-CUDA Draft complete
- The CUDA Device Function Libraries and Thrust
- Implementing a Deep Neural Network

- Working with Compiled GPU Code

- Performance Optimization in CUDA

- Where to Go from Here

Über Autor(innen)

Tuomanen Dr. Brian:

Dr. Brian Tuomanen has been working with CUDA and General-Purpose GPU Programming since 2014. He received his Bachelor of Science in Electrical Engineering from the University of Washington in Seattle, and briefly worked as a Software Engineer before switching to Mathematics for Graduate School. He completed his Ph.D. in Mathematics at the University of Missouri in Columbia, where he first encountered GPU programming as a means for studying scientific problems. Dr. Tuomanen has spoken at the US Army Research Lab about General Purpose GPU programming, and has recently lead GPU integration and development at a Maryland based start-up company. He currently lives and works in the Seattle area.