null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Professional CUDA C Programming

List Price: $59.99
SKU:
9781118739327
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    John Cheng, Max Grossman, Ty McKercher
    Format:
    Paperback
    Pages:
    528
    Publisher:
    Wiley (September 9, 2014)
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9781118739327
    Weight:
    26.4oz
    Dimensions:
    7.4" x 9.1" x 1.2"
    File:
    Wiley-wileyUS_2_1_20260815-20260815.xml
    Folder:
    Wiley
    List Price:
    $59.99
    Case Pack:
    16
    As low as:
    $56.99
    Publisher Identifier:
    P-WIL
    Discount Code:
    D
    Pub Discount:
    50
    Imprint:
    Wrox
    Country of Origin:
    United States
  • Overview

    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.