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Structured Parallel Programming: Patterns for Efficient Computation
Structured Parallel Programming book offers the simplest way for developers to learn patterns for high-performance parallel programming.
Structured Parallel Programming: Patterns for Efficient Computation
Item #: 37832859

Structured Parallel Programming: Patterns for Efficient Computation

Item #: 37832859

THB 2173

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Structured Parallel Programming book offers the simplest way for developers to learn patterns for high-performance parallel programming.
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What Stands Out

Efficient Computation
This book provides proven patterns for structuring parallel programs, enabling developers to write faster, more efficient code that maximizes computational resources and reduces execution time.
Comprehensive Frameworks
It introduces comprehensive frameworks that facilitate understanding complex parallel programming concepts, making it accessible for both beginners and experienced programmers looking to enhance their skills.
Problem-Solving Focus
Structured Parallel Programming emphasizes practical problem-solving techniques, guiding readers through real-world scenarios and design patterns that enhance the efficiency of computational tasks.

Product Details

Shop Structured Parallel Programming: Patterns for Efficient Computation online at a best price in Thailand. 0124159931
  • 1st Edition of the book 'Structured Parallel Programming: Patterns for Efficient Computation'
  • Provides patterns for efficient computation in structured parallel programming
  • Offers guidance for optimizing parallel programs
  • Covers key concepts and essential techniques for parallel programming
  • Useful resource for software developers, computer scientists, and engineers
  • Written by experts in parallel programming
Publisher Morgan Kaufmann
Publication date July 9, 2012
Edition 1st
Language English
Print length 432 pages
ISBN-10 0124159931
ISBN-13 978-0124159938
Item Weight 1.94 pounds (880 grams)
Dimensions 7.5 x 0.98 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Computer Science Students

    Ideal for students studying parallel computing and seeking foundational knowledge in structured programming patterns.

  • Software Developers

    Beneficial for developers looking to enhance their skills in efficient computation using structured parallelism techniques.

  • Researchers in Computing

    Useful for researchers exploring advanced algorithms and methodologies in parallel computing and related fields.

Not Suitable For
  • Casual Programmers

    Not suitable for casual programmers without a strong background in parallel computing or structured programming.

Product Description

Structured Parallel Programming: Patterns for Efficient Computation

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Software Development Editorial Review

"Structured Parallel Programming" is a book that is highly praised by some and heavily criticized by others. The book is written by Intel engineers, and provides an overview of parallel processing models, including Cilk Plus, Intel's Thread Building Blocks, OpenMP, OpenCV and more, explaining how they work and the Pros and Cons of each. The book is thorough in discussing the history of parallel processing and the architectures of today's computers, including compilers, processors memory etc. There's a clear command of the topic and many practical examples. This book is lauded for being a great resource, providing knowledge and tools to learn how to use the latest libraries and tools on the market. However, some claim the book is too abstract, theoretical and difficult to apply. The book is praised for providing clear and concise information in a well-structured way. However, some claim that the book is too cursory and introductory with too many concepts without providing any depth. Many claim that the book has a marketing bias towards intel's products and CPU's, is too heavily focused on theoretical concepts, does not teach how to use any technology and does not cover anything beyond mathematical computations.

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Pros

  • Clear and concise information
  • Thorough introduction to the history of parallel processing and the architectures of today's computers
  • Practical tools and knowledge to learn how to use the latest libraries and tools on the market

Cons

  • Too abstract and theoretical

Product Price History

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