Practical parallel computing (57 Ergebnisse)

Hardcover. Zustand: Good. Pages slightly tannedCovers scuffed with slight moisture marks on inside of cover. Text is clean and tight. Good Reading Copy. NOT A FORMER LIBRARY BOOK.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Softcover. Zustand: Bon. Ancien livre de bibliothèque. Traces de pliures sur la couverture. Légères traces d'usure sur la couverture. Salissures sur la tranche. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Traces of creases on the cover. Slight signs of wear on the cover. Stains on the edge. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations. …

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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pictorial hard cover. Zustand: Very Good. No Jacket. Computer engineering series. Includes bibliographical references and index. 252 pages VG. Light shelf wear to covers, overall very good condition.

Zustand: Used. pp. 424.

Zustand: Used. pp. 424.

Zustand: Used. pp. 424.

Hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Zustand: New. pp. x + 189 Index.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. pp. x + 189 Illus.

Taschenbuch. Zustand: Neu. Neuware - GPU's have become an important part of modern computing, enabling applications to process large amounts of data through massive parallelism. CUDA provides developers with a powerful programming model for taking advantage of NVIDIA GPUs, but getting started can be challenging when concepts such as kernels, threads, blocks, grids, memory spaces, and synchronization are introduced all at once.GPU Programming with CUDA For Beginners provides a practical introduction to CUDA programming for readers who want to understand how GPU computing works and learn how to build CUDA applications from the ground up.Starting with the fundamentals of GPU architecture and parallel computing, the book progressively introduces the CUDA programming model, kernel execution, threads, thread blocks, grids, memory management, data transfer, synchronization, and common parallel programming patterns. Practical examples help connect these concepts to the way CUDA programs actually execute on a GPU.You will explore how to: - Understand the fundamentals of GPU computing and parallel execution- Set up a CUDA development environment- Write and launch CUDA kernels- Work with threads, blocks, grids, and execution hierarchies- Manage data between the CPU and GPU- Understand CUDA's different memory spaces- Use synchronization and coordinate parallel work- Design practical parallel algorithms- Identify common CUDA programming mistakes- Structure CUDA applications more effectively- Build a solid foundation for further CUDA development and optimizationThe goal is not simply to memorize CUDA functions. Instead, you will develop a practical mental model of how CUDA programs execute and how GPU-oriented programming differs from conventional CPU programming.Whether you are a programmer new to GPU computing, a software developer expanding into parallel programming, or a technical professional looking to understand CUDA, this book provides a structured starting point for building useful GPU programming skills.Build the fundamentals first. Then use them to write better GPU programs.…

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Zustand: New. pp. x + 189.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: Good. *Price HAS BEEN REDUCED by 10% until Monday, Sept. 28 (weekend SALE item)* 264 pp., Hardcover, ex library, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

Zustand: New. Print on Demand.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Taschenbuch. Zustand: Neu. Neuware - This book is a comprehensive guide to engineering highly optimized, distributed C++ applications. It teaches you how to construct software that scales seamlessly from a local workstation to an enterprise supercomputing cluster without wasting a single CPU cycle.I know exactly what it feels like to watch a carefully written application collapse under its own weight. You optimize your mathematics on one machine, only to watch the software freeze or crash the moment you try to scale it up. The hard truth is that the standard rules of software development fail at massive scale. Standard file operations throttle your storage drives, and synchronous network messages force your CPUs to sit entirely idle. What happens when your dataset grows so large that a single server simply cannot process it You must change your entire execution architecture. I wrote this guide to show you exactly how to bypass the operating system, manipulate physical RAM across networks, and coordinate thousands of nodes without a single collision.What's Inside: The Architecture of ScaleThis guide is packed with rigorous, highly practical techniques to transform how you write software: - Custom Memory Mapping: Transmit complex C++ structures instantly using zero-copy communication.- Asynchronous Execution: Master Remote Memory Access to seamlessly alter remote RAM without interrupting active calculations.- Parallel Storage Pipelines: Coordinate collective I/O to write massive datasets at absolute hardware speed.- Hybrid Processing: Unify MPI and OpenMP to completely dominate modern multi-core servers.- Dynamic Load Balancing: Eliminate idle time by constructing highly efficient master-worker task queues.Who It's Meant For: Systems EngineersThis guide is written for C++ developers and software architects who refuse to accept hardware limitations. If you want to elevate your engineering skills to command massive computing clusters, this is your direct roadmap.Stop writing software that is permanently trapped inside a single computer. Your hardware is capable of infinite parallel execution, and it is time you unlock that potential. Grab your copy now, rewrite your architecture, and start engineering the scalable systems of tomorrow.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 420 pages. 9.25x7.75x1.00 inches. In Stock.

Zustand: New.

Hardcover. Zustand: Brand New. 414 pages. 10.25x7.25x1.25 inches. In Stock.

Paperback Mar 25, 2004. Zustand: gebraucht; wie neu.

Zustand: New. Print on Demand.

Zustand: As New. Unread book in perfect condition.

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