{"product_id":"professional-cuda-c-programming-9781118739327","title":"Professional Cuda C Programming","description":"\u003cp\u003e\u003cb\u003eBreak into the powerful world of parallel GPU programming \u003c\/b\u003e\u003cb\u003ewith this down-to-earth, practical guide\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDesigned for professionals across multiple industrial sectors, \u003ci\u003eProfessional CUDA C Programming \u003c\/i\u003epresents 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.\u003c\/p\u003e \u003cp\u003eComputing 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 \u003ci\u003eProfessional CUDA C Programming\u003c\/i\u003e, including: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eCUDA Programming Model\u003c\/li\u003e \u003cli\u003eGPU Execution Model\u003c\/li\u003e \u003cli\u003eGPU Memory model\u003c\/li\u003e \u003cli\u003eStreams, Event and Concurrency\u003c\/li\u003e \u003cli\u003eMulti-GPU Programming\u003c\/li\u003e \u003cli\u003eCUDA Domain-Specific Libraries\u003c\/li\u003e \u003cli\u003eProfiling and Performance Tuning\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe 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, \u003ci\u003eProfessional CUDA C Programming\u003c\/i\u003e is an invaluable resource, with the most current information available on the market.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eJohn Cheng, PHD, \u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMax Grossman\u003c\/b\u003e is an expert in GPU computing with experience applying CUDA to problems in medical imaging, machine learning, geophysics, and more. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eTy McKercher\u003c\/b\u003e has been helping customers adopt GPU acceleration technologies while he has been employed at NVIDIA since 2008.\u003cbr\u003e\u003c\/p\u003e","brand":"Wrox Press","offers":[{"title":"Default Title","offer_id":50492375531794,"sku":"9781118739327","price":43.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_d37ede44-f622-4d01-bf08-581ceb8f3b70.jpg?v=1730586160","url":"https:\/\/surprise-castle.myshopify.com\/products\/professional-cuda-c-programming-9781118739327","provider":"Surprise Castle","version":"1.0","type":"link"}