Use coupon code “SUMMER20” for a 20% discount on all items! Valid until 2024-08-31

Site Logo
Search Suggestions

      Royal Mail  express delivery to UK destinations

      Regular sales and promotions

      Stock updates every 20 minutes!

      Machine Learning with oneAPI

      1 in stock

      Firm sale: non returnable item
      SKU 9781032493114 Categories ,
      Select Guide Rating
      Intel OneAPI is a unified programming model and software development kit (SDK) that empowers developers to generate high performance applications that can run on different devices, comprising CPUs, GPUs, FPGAs, and other accelerators.

      oneAPI is a unified programming mode...

      £44.99

      Buy new:

      Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

      Shipping costs: All shipping costs calculated in the cart or during the checkout process.

      Standard service (normally 2-3 working days): 48hr Tracked service.

      Premium service (next working day): 24hr Tracked service – signature service included.

      Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

      Signature Service: This service is only available for tracked items.

      Leave in Safe Place: This option is available at no additional charge for tracked services.

      Description

      Product ID:9781032493114
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Machine Learning with oneAPI
      Authors:Author: Nitin Vamsi Dantu, T.S. Murugesh, Sini Raj Pulari, Shriram K. Vasudevan
      Page Count:196
      Subjects:Electrical engineering, Electrical engineering, Automatic control engineering, Environmental science, engineering and technology, Information technology: general topics, Algorithms and data structures, Computer networking and communications, Computer architecture and logic design, Artificial intelligence, Automatic control engineering, Environmental science, engineering & technology, Information technology: general issues, Algorithms & data structures, Computer networking & communications, Computer architecture & logic design, Artificial intelligence
      Description:Select Guide Rating
      Intel OneAPI is a unified programming model and software development kit (SDK) that empowers developers to generate high performance applications that can run on different devices, comprising CPUs, GPUs, FPGAs, and other accelerators.

      oneAPI is a unified programming model and software development kit (SDK) from Intel that empowers software developers to generate high-performance applications that can run on different devices, comprising CPUs, GPUs, FPGAs, and other accelerators. It lets developers write code once and deploy it on multiple architectures, decreasing the complexity as well as the cost and time of software development. One of the significant strengths of oneAPI is in its capability to support an eclectic range of devices and architectures, including artificial intelligence, high-performance computing, and data analytics. Along with libraries, tools, and compilers, oneAPI makes it cool for developers to create optimized code for an extensive variety of applications, making it an indispensable tool for any developer who wants to create high-performance software and reap the benefit of the latest hardware technologies. The versatility of oneAPI, by means of appropriate theory and practical implementation with the latest tools in machine learning, has been presented in a simple yet effective way in this book that caters to everyone’s needs. Come on, let’s unleash the true power of our code across varied architectures!


      Imprint Name:CRC Press
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2023-09-21

      Additional information

      Weight334 g
      Dimensions155 × 234 × 15 mm