An Introduction to Parallel Programming
An Introduction to Parallel Programming
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An Introduction to Parallel Programming
An Introduction to Parallel Programming
An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs.
An Introduction to Parallel Programming
Numéro d'article: 4023000

An Introduction to Parallel Programming

87% des répondants recommanderaient ceci à un ami

Numéro d'article: 4023000

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HTG 14356

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An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs.
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Ce qui se démarque

Comprehensive Coverage
This book offers thorough explanations of parallel programming concepts, making it ideal for both beginners and experienced developers seeking to enhance their skills in multi-threaded applications.
Hands-on Examples
Includes practical examples and exercises, allowing readers to apply theoretical knowledge in real-world scenarios, ensuring a solid understanding of parallel programming techniques.
Expert Authorship
Authored by industry experts, this resource provides insights into best practices and advanced topics, equipping readers with the tools needed to tackle complex programming challenges.

Détails du produit

Shop An Introduction to Parallel Programming online at a best price in Haiti. 0123742609
  • An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examplesFocuses on designing, debugging and evaluating the performance of distributed and shared-memory programsExplains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models
Publisher Morgan Kaufmann
Publication date January 21, 2011
Edition 1st
Language English
Print length 392 pages
ISBN-10 0123742609
ISBN-13 978-0123742605
Item Weight 1.85 pounds (840 grams)
Dimensions 7.75 x 1 x 9.5 inches (19.7 x 2.5 x 24.1 cm)

À qui est-ce destiné ?

Suitable For
  • Students Learning Programming

    This book is ideal for students new to parallel programming concepts and techniques in computer science courses.

  • Software Developers

    Developers looking to expand their skill set in parallel programming for improving application performance will benefit greatly.

  • Researchers in Computing

    Researchers interested in parallel algorithms and programming models can gain foundational knowledge for their studies.

Not Suitable For
  • Beginners in Programming

    Users completely new to programming may find concepts too advanced without prior understanding of basic programming principles.

DESCRIPTION DU PRODUIT

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Questions et réponses des clients

  • question: What is 'An Introduction to Parallel Programming 1st Edition' about?

    répondre: This book serves as a comprehensive guide to the emerging field of parallel programming, focusing on algorithms, architectures, and practical applications. It explores various programming models and frameworks to empower readers with the skills to develop efficient software on multi-core and distributed systems. This foundational resource is beneficial for both students and professionals seeking to enhance their knowledge and application of parallel computing in real-world scenarios.
  • question: Who is the intended audience for this book?

    répondre: The target audience includes students pursuing computer science or related fields, educators, and software developers interested in parallel computing. Whether you're new to parallel programming or have prior experience, this book offers a structured approach to understanding key concepts, making it suitable for both beginners and advanced practitioners looking to refine their skills in high-performance computing.
  • question: What programming languages does the book cover?

    répondre: The book predominantly focuses on popular programming languages such as C++, Python, and Java, which are widely used in the parallel programming landscape. Each language section provides practical examples and methodologies for implementing parallel algorithms, enabling readers to apply the concepts directly in their preferred programming environment.
  • question: How does this book differentiate itself from other parallel programming guides?

    répondre: This edition stands out with its practical, hands-on approach that includes numerous code examples and case studies. It not only covers the theoretical foundations of parallel programming but also delves into practical techniques for optimizing performance, preparing readers to tackle real-world problems with confidence. This blend of theory and practice is what sets it apart in a crowded market.
  • question: Does the book include exercises or projects?

    répondre: Yes, the book features end-of-chapter exercises and project suggestions that reinforce the learning objectives outlined in the chapters. These tasks encourage readers to implement the concepts in practical scenarios, enhancing their understanding and mastery of parallel programming techniques in a hands-on manner.
  • question: What are some practical applications of parallel programming?

    répondre: Parallel programming is utilized in various domains such as scientific computing, data analysis, and real-time simulations. Whether running complex simulations for weather prediction or enhancing the performance of image processing algorithms, the principles taught in this book can be applied to improve efficiency and reduce processing time across numerous fields.
  • question: Is prior knowledge of programming necessary to benefit from this book?

    répondre: While some basic programming knowledge is beneficial, the book is written to accommodate readers with varying levels of expertise. Beginners can grasp foundational concepts, while more experienced programmers will appreciate the advanced discussions and techniques. This inclusivity ensures that anyone interested in parallel programming can find value in the material presented.
  • question: What topics does the book cover in detail?

    répondre: Key topics include shared and distributed memory models, synchronization techniques, performance optimization, and debugging tools. Each chapter is dedicated to exploring these concepts thoroughly, providing readers with the theoretical background, practical examples, and insights needed to effectively apply parallel programming in their work.
  • question: Can this book help improve my career prospects in tech?

    répondre: Absolutely! As the demand for skills in parallel computing grows, this book equips readers with crucial knowledge that is increasingly sought after in various tech careers. Understanding parallel programming can enhance your qualifications for roles in software development, data science, and systems engineering, making you a valuable asset to prospective employers.
  • question: Where can I buy 'An Introduction to Parallel Programming 1st Edition' in Haiti?

    répondre: You can purchase 'An Introduction to Parallel Programming 1st Edition' from Ubuy, a trusted e-commerce platform known for a comprehensive selection of books and educational materials. Ubuy offers a user-friendly shopping experience and reliable service, making it a convenient option for buying this book in Haiti.

Algorithms Editorial Review

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  • ubuy Haiti

This review is about the 1st Edition of "An Introduction to Parallel Programming". Many students have bought this book for college courses. Though the quality of the book is good, the binding starts to tear apart after one or two readings. The book describes parallel programming through the use of pthreads and openmp which are not very popular today. It is said that international C and C++ standards should be preferred over these. Readers with good knowledge of C and experience in setting up compilers find the book material to be very useful. However, some have found the book theory-heavy and the examples lacking. The book has helped some people learn about parallel programming, and they use it regularly. **

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Avantages

  • Good material for people with prerequisite knowledge of the C language and experience setting up compilers Easy to read Has helped some people learn parallel programming

Les inconvénients

  • Examples are lacking Uses pthreads and openmp which are not very popular today Some readers have found the book theory-heavy Binding quality is poor

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Caractéristiques et avantages

  • First undergraduate text on parallel programming for multi-core and cluster architectures.
  • Tutorial approach that starts with small examples, progressively increasing in complexity.
  • Focuses on key skills: design, debugging, and performance evaluation.
  • Covers popular programming models: MPI, Pthreads, and OpenMP.
  • User-friendly exercises help students apply concepts effectively.
  • Ideal for students looking to develop and run effective parallel programs.

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