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An Introduction to Parallel Programming
87% of respondents would recommend this to a friend
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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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What Stands Out
Product Details
| 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) |
Who Should Buy?
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Students Learning Programming
This book is ideal for students new to parallel programming concepts and techniques in computer science courses.
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Software Developers
Developers looking to expand their skill set in parallel programming for improving application performance will benefit greatly.
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Researchers in Computing
Researchers interested in parallel algorithms and programming models can gain foundational knowledge for their studies.
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Beginners in Programming
Users completely new to programming may find concepts too advanced without prior understanding of basic programming principles.
Product Description
An Introduction to Parallel Programming
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Algorithms Editorial Review
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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Pros
- 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
Cons
- 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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Features & Benefits
- 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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