Gpu computing applications (58 resultados)

Condición: good. Hardcover Book.

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Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

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hardcover. Condición: 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.

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Paperback or Softback. Condición: New. GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning. Book.

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Taschenbuch. Condición: Neu. Neuware.

Condición: New.

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Condición: New.

Taschenbuch. Condición: Neu. Neuware - Are you looking to understand modern high-performance computing and get more from your C++ and GPU programming skills C++26 and CUDA 13.3 Performance Engineering offers a practical introduction to parallel computing, GPU programming, kernel development, memory optimization, and performance-focused application design. Whether you're exploring GPU acceleration for the first time or looking to improve existing programming techniques, this guide presents complex ideas in a clear and approachable way.How can you write more efficient code How do GPUs handle demanding workloads What techniques can help reduce unnecessary computation and improve application performance Explore these questions and more through a focused guide designed for programmers, students, developers, and computing enthusiasts interested in building a stronger understanding of performance engineering and modern parallel applications.…

Taschenbuch. Condición: Neu. Neuware - What if your Python programs could handle demanding computational tasks more efficiently Mastering GPU Programming with Python and CUDA 13.3 offers a practical introduction to GPU-based computing and the techniques used to build and optimize accelerated applications. Instead of focusing only on theory, this guide helps you understand the principles behind parallel execution, GPU kernels, memory usage, and performance optimization. How do GPU programs work Which tasks benefit from parallel execution How can memory access affect performance And what techniques can help you identify and improve computational bottlenecks You'll explore these questions through practical discussions of parallel programming, kernel design, memory management, data movement, performance analysis, and application optimization. The book is designed to help readers develop a clearer understanding of how computational workloads can be structured for accelerated hardware. Whether you are building your programming foundation or expanding your knowledge of high-performance computing, this guide provides a structured path toward understanding GPU-based application development and performance engineering.…

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Condición: New. Print on Demand.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.…