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Introduction to Parallel Programming

English

By (author): Subodh Kumar

In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field. See more
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A01=Subodh KumarAge Group_UncategorizedAuthor_Subodh Kumarautomatic-updateCategory1=Non-FictionCategory=PBWCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 500g
  • Dimensions: 185 x 241mm
  • Publication Date: 05 Jan 2023
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781009069533

About Subodh Kumar

Dr Subodh Kumar is Professor at the Department of Computer Science and Engineering at the Indian Institute of Technology Delhi; an institution he has been associated with since 2007. During this time he has headed the High Performance Computing group of the institute and taught several courses on computer graphics data structures and algorithms design practices in computer science and parallel programming. Previously he held the post of Assistant Professor at the Johns Hopkins University. His research interests include rendering algorithms virtual reality geometry processing human machine interface visualization large scale parallel computation and HPC.

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