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Parallel Processing, 1980 to 2020 (Synthesis Lectures on Computer Architecture)
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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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Produkto Aprašymas
| 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?
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Computer Architecture Students
Students studying computer architecture will gain comprehensive insights into parallel processing developments from 1980 to 2020.
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Researchers in Computing
Researchers analyzing historical trends and advancements in parallel processing will find valuable synthesis and context in this text.
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Software Developers
Software developers interested in parallel programming techniques will benefit from learned strategies and practical examples presented.
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Beginners in Computing
Beginners may struggle with complex terminologies and concepts without foundational knowledge in computer architecture.
PRODUKTO APRAŠYMAS
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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Argumentai
- 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
Minusai
- Covers primarily up to the year 2020 only
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Savybės ir privalumai
- 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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