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Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture)
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Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture)
This historical survey of parallel processing from 1980 to 2020 covers the evolution of the field, showcasing how every personal and embedded device is a parallel processor today.
Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture)
artikal br.: 206162183

Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture)

artikal br.: 206162183

RSD 9227

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This historical survey of parallel processing from 1980 to 2020 covers the evolution of the field, showcasing how every personal and embedded device is a parallel processor today.
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What Stands Out

Comprehensive Overview
Covers four decades of advancements in parallel processing, providing readers with a thorough understanding of evolving technologies and methodologies within the computer architecture field.
Expert Insights
Authored by leading experts, the book includes authoritative perspectives and deep analysis, ensuring reliable and insightful content for both students and professionals in computer architecture.
Educational Resource
Designed as a lecture series, it serves as an excellent resource for graduate courses, presenting complex topics in an accessible format that aids learning and comprehension in parallel processing.

Детаљи о производу

Shop Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture) online at a best price in Serbia. 3031006402
Publisher Springer
Publication date October 14, 2020
Edition 1st
Language English
Print length 189 pages
ISBN-10 3031006402
ISBN-13 978-3031006401
Item Weight 13.1 ounces (371.39 grams)
Dimensions 7.52 x 0.44 x 9.25 inches (19.1 x 1.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Computer Architecture Students

    Students studying computer architecture will gain comprehensive insights into parallel processing developments from 1980 to 2020.

  • Researchers in Computing

    Researchers analyzing historical trends and advancements in parallel processing will find valuable synthesis and context in this text.

  • Software Developers

    Software developers interested in parallel programming techniques will benefit from learned strategies and practical examples presented.

Not Suitable For
  • Beginners in Computing

    Beginners may struggle with complex terminologies and concepts without foundational knowledge in computer architecture.

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Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture)

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Design Editorial Review

Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture) is an essential read for anyone interested in the evolution of computational architecture over four decades. This 1st edition published by Springer on October 14, 2020, spans 189 pages and provides an insightful analysis of the advancements in parallel processing. The book's well-structured content, in English, facilitates reader comprehension and engagement, making it a valuable resource for both students and professionals in the field. Readers have noted the clarity of the explanations, which enhance the understanding of complex topics, making it an excellent academic reference for learning and teaching parallel processing concepts.

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  • Comprehensive analysis of parallel processing advancements
  • Well-structured content for easier understanding
  • Clear explanations enhance reader comprehension
  • Ideal for both students and professionals
  • Engaging for a broad audience

Цонс

  • Covers primarily up to the year 2020 only

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Карактеристике и предности

  • Explore the evolution of parallel processing from 1980 to 2020.
  • Learn about significant advancements in parallel computers and GPUs.
  • Discover the impact of parallel programming notations like OpenMP, MPI, and CUDA.
  • Understand the importance of parallel applications in various fields.
  • Gain insights into how Moore's Law has driven performance changes in parallel systems.
  • Perfect for individuals with existing knowledge seeking to deepen their understanding of parallel processing history.

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