Professional CUDA C Programming (PDF)
(Sprache: Englisch)
Break into the powerful world of parallel GPU
programming with this down-to-earth, practical
guide
Designed for professionals across multiple industrial sectors,
Professional CUDA C Programming presents CUDA -- a
parallel computing platform and...
programming with this down-to-earth, practical
guide
Designed for professionals across multiple industrial sectors,
Professional CUDA C Programming presents CUDA -- a
parallel computing platform and...
sofort als Download lieferbar
eBook (pdf)
38.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Professional CUDA C Programming (PDF)“
Break into the powerful world of parallel GPU
programming with this down-to-earth, practical
guide
Designed for professionals across multiple industrial sectors,
Professional CUDA C Programming presents CUDA -- a
parallel computing platform and programming model designed to ease
the development of GPU programming -- fundamentals in an
easy-to-follow format, and teaches readers how to think in parallel
and implement parallel algorithms on GPUs. Each chapter covers a
specific topic, and includes workable examples that demonstrate the
development process, allowing readers to explore both the "hard"
and "soft" aspects of GPU programming.
Computing architectures are experiencing a fundamental shift
toward scalable parallel computing motivated by application
requirements in industry and science. This book demonstrates the
challenges of efficiently utilizing compute resources at peak
performance, presents modern techniques for tackling these
challenges, while increasing accessibility for professionals who
are not necessarily parallel programming experts. The CUDA
programming model and tools empower developers to write
high-performance applications on a scalable, parallel computing
platform: the GPU. However, CUDA itself can be difficult to learn
without extensive programming experience. Recognized CUDA
authorities John Cheng, Max Grossman, and Ty McKercher guide
readers through essential GPU programming skills and best practices
in Professional CUDA C Programming, including:
* CUDA Programming Model
* GPU Execution Model
* GPU Memory model
* Streams, Event and Concurrency
* Multi-GPU Programming
* CUDA Domain-Specific Libraries
* Profiling and Performance Tuning
The book makes complex CUDA concepts easy to understand for
anyone with knowledge of basic software development with exercises
designed to be both readable and high-performance. For the
professional seeking entrance to parallel computing and the
high-performance computing community, Professional CUDA C
Programming is an invaluable resource, with the most current
information available on the market.
programming with this down-to-earth, practical
guide
Designed for professionals across multiple industrial sectors,
Professional CUDA C Programming presents CUDA -- a
parallel computing platform and programming model designed to ease
the development of GPU programming -- fundamentals in an
easy-to-follow format, and teaches readers how to think in parallel
and implement parallel algorithms on GPUs. Each chapter covers a
specific topic, and includes workable examples that demonstrate the
development process, allowing readers to explore both the "hard"
and "soft" aspects of GPU programming.
Computing architectures are experiencing a fundamental shift
toward scalable parallel computing motivated by application
requirements in industry and science. This book demonstrates the
challenges of efficiently utilizing compute resources at peak
performance, presents modern techniques for tackling these
challenges, while increasing accessibility for professionals who
are not necessarily parallel programming experts. The CUDA
programming model and tools empower developers to write
high-performance applications on a scalable, parallel computing
platform: the GPU. However, CUDA itself can be difficult to learn
without extensive programming experience. Recognized CUDA
authorities John Cheng, Max Grossman, and Ty McKercher guide
readers through essential GPU programming skills and best practices
in Professional CUDA C Programming, including:
* CUDA Programming Model
* GPU Execution Model
* GPU Memory model
* Streams, Event and Concurrency
* Multi-GPU Programming
* CUDA Domain-Specific Libraries
* Profiling and Performance Tuning
The book makes complex CUDA concepts easy to understand for
anyone with knowledge of basic software development with exercises
designed to be both readable and high-performance. For the
professional seeking entrance to parallel computing and the
high-performance computing community, Professional CUDA C
Programming is an invaluable resource, with the most current
information available on the market.
Autoren-Porträt von John Cheng, Max Grossman, Ty McKercher
John Cheng, PHD, is a Research Scientist at BGP International in Houston. He has developed seismic imaging products with GPU technology and many high-performance parallel production applications on heterogeneous computing-platforms.Max Grossman is an expert in GPU computing with experience applying CUDA to problems in medical imaging, machine learning, geophysics, and more.
Ty McKercher has been helping customers adopt GPU acceleration technologies while he has been employed at NVIDIA since 2008.
Bibliographische Angaben
- Autoren: John Cheng , Max Grossman , Ty McKercher
- 2014, 1. Auflage, 528 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118739272
- ISBN-13: 9781118739273
- Erscheinungsdatum: 28.08.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 57 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Professional CUDA C Programming"
0 Gebrauchte Artikel zu „Professional CUDA C Programming“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Professional CUDA C Programming".
Kommentar verfassen