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      Multicore and GPU Programming: An Integrated Approach

      2 in stock

      Firm sale: non returnable item
      SKU 9780128141205 Categories ,
      Select Guide Rating
      Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools...

      £85.99

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      Description

      Product ID:9780128141205
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Multicore and GPU Programming
      Subtitle:An Integrated Approach
      Authors:Author: Gerassimos Barlas
      Page Count:1024
      Subjects:Programming and scripting languages: general, Programming & scripting languages: general, Computer architecture and logic design, Computer architecture & logic design
      Description:Select Guide Rating
      Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, the book teaches the design and development of software capable of taking advantage of modern computing platforms that incorporate CPUs, GPUs and other accelerators. Presenting material refined over more than two decades of teaching parallel computing, author Gerassimos Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive case studies, and full source code. By using this book, readers will better understand how to develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting parallel machines.
      Imprint Name:Morgan Kaufmann Publishers In
      Publisher Name:Elsevier Science & Technology
      Country of Publication:GB
      Publishing Date:2022-08-08

      Additional information

      Weight1558 g
      Dimensions190 × 236 × 37 mm