Isbn: 9798269372556 - parallel computing with c++ and gpus: unlock maximum performance for scientific computing, ai, and real-time systems (9 resultados)

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  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798269372556

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798269372556

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798269372556

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798269372556

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798269372556

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798269372556

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Cantidad disponible: 1 disponibles

    Paperback. Condición: new. Paperback. Parallel Computing with C++ and GPUs: Unlock Maximum Performance for Scientific Computing, AI, and Real-Time Systems Parallel Computing with C++ and GPUs is your direct route to building high-performance applications that power scientific breakthroughs, next-generation AI, and real-time systems. Whether you're optimizing simulations, accelerating machine learning, or architecting the backbone of modern analytics, this book delivers the hands-on strategies and knowledge you need-without fluff or filler.At its core, this book shows you how to harness the true potential of GPU hardware with modern C++. It cuts through vendor complexity, equipping you to write portable, robust, and highly optimized code that runs efficiently across NVIDIA, AMD, and Intel platforms.You'll master: Essential GPU fundamentals and C++ toolchains-including CUDA, SYCL, and HIP-for rapid setup and real-world productivity.Core parallel programming techniques: thread and memory management, efficient data transfer patterns, and kernel optimization.Portable, production-grade code structures for multi-GPU systems, scalable matrix operations, streaming pipelines, and advanced AI workloads.Best practices for debugging, testing, continuous integration, and maintaining your code through hardware and toolkit upgrades.Every chapter is loaded with clear explanations, real working examples, and expert insights that prepare you to deliver results from day one. Topics like memory hierarchy, concurrency with streams, profiling for peak performance, and platform-agnostic CMake templates ensure you're always a step ahead.Stop letting hardware limitations define your results. Gain the competitive edge in scientific computing, artificial intelligence, and high-speed applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Idioma: Inglés

    Editorial: Independently published, 2025

    9798269372556

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798269372556

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    Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Independently Published, 2025

    9798269372556

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    EUR 25,21

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    Paperback. Condición: new. Paperback. Parallel Computing with C++ and GPUs: Unlock Maximum Performance for Scientific Computing, AI, and Real-Time Systems Parallel Computing with C++ and GPUs is your direct route to building high-performance applications that power scientific breakthroughs, next-generation AI, and real-time systems. Whether you're optimizing simulations, accelerating machine learning, or architecting the backbone of modern analytics, this book delivers the hands-on strategies and knowledge you need-without fluff or filler.At its core, this book shows you how to harness the true potential of GPU hardware with modern C++. It cuts through vendor complexity, equipping you to write portable, robust, and highly optimized code that runs efficiently across NVIDIA, AMD, and Intel platforms.You'll master: Essential GPU fundamentals and C++ toolchains-including CUDA, SYCL, and HIP-for rapid setup and real-world productivity.Core parallel programming techniques: thread and memory management, efficient data transfer patterns, and kernel optimization.Portable, production-grade code structures for multi-GPU systems, scalable matrix operations, streaming pipelines, and advanced AI workloads.Best practices for debugging, testing, continuous integration, and maintaining your code through hardware and toolkit upgrades.Every chapter is loaded with clear explanations, real working examples, and expert insights that prepare you to deliver results from day one. Topics like memory hierarchy, concurrency with streams, profiling for peak performance, and platform-agnostic CMake templates ensure you're always a step ahead.Stop letting hardware limitations define your results. Gain the competitive edge in scientific computing, artificial intelligence, and high-speed applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.