Metal enables Apple iOS and macOS platform developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and now GPU-accelerated machine learning. Apple’s Swift + Metal combination runs faster than nearly any other language used in these areas. Now, there’s an authoritative and 100% practical guide to making the most of Metal. Pioneering Apple developers Basel Farag and Janie Clayton cover everything from simple draw calls to advanced parallel computing, teaching through hands-on projects and industry-realistic code samples. They cover a wide array of applications, from 2D and 3D graphics to neural networking. Farag and Clayton offer a uniquely valuable perspective on high-performance data-parallel programming with Metal -- a topic that has been woefully underserved by earlier resources. They also offer expert guidance on Metal performance and debugging, helping you capture every iota of performance the Metal API and shader language can offer.
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Janie Clayton is an independent iOS developer and graphics programmer. Janie is the author on several books on iOS and Swift development, including the Swift Apprentice and iOS 10 SDK. She records her journey down the rabbit hole on her personal blog at http://redqueencoder.com. Janie lives outside of Madison, Wisconsin, with her attempted grumble of pugs and multitude of programming books.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Metal enables Apple iOS and macOS platform developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and now GPU-accelerated machine learning. Apple's Swift + Metal combination runs faster than nearly any other language used in these areas. Now, there's an authoritative and 100% practical guide to making the most of Metal. Pioneering Apple developer Janie Clayton covers everything from simple draw calls to advanced parallel computing, teaching through hands-on projects and industry-realistic code samples. She covers a wide array of applications, from 2D and 3D graphics to neural networking. Clayton offers a uniquely valuable perspective on high-performance data-parallel programming with Metal -- a topic that has been woefully underserved by earlier resources. She also offers expert guidance on Metal performance and debugging, helping you capture every iota of performance the Metal API and shader language can offer. 352 pp. Englisch. Codice articolo 9780134668949
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Metal enables Apple iOS and macOS platform developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and now GPU-accelerated machine learning. Apple s Swift + Metal combination runs faster than nea. Codice articolo 205597122
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