Principles of Parallel Programming,New

Principles of Parallel Programming,New

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With the rise of multicore architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Written by wellknown researchers Larry Snyder and Calvin Lin, this highly anticipated first edition emphasizes the principles underlying parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming. Ideal for an advanced upperlevel undergraduate course, Principles of Parallel Programming supplies enduring knowledge that will outlive the current hardware and software, aiming to inspire future researchers to build tomorrows solutions.

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Frequently Asked Questions

  • Q: What is the main focus of 'Principles of Parallel Programming'? A: The book primarily focuses on the principles underlying parallel computation, discussing phenomena that represent opportunities or barriers to successful parallel programming.
  • Q: Who are the authors of this book? A: The book is authored by renowned researchers Larry Snyder and Calvin Lin.
  • Q: What is the publication date of 'Principles of Parallel Programming'? A: The book was published on February 26, 2008.
  • Q: How many pages does this book have? A: The book contains a total of 360 pages.
  • Q: Is this book suitable for beginners in programming? A: This book is ideal for advanced upper-level undergraduate courses, so it may not be suitable for complete beginners.
  • Q: What type of binding does this book have? A: The book is available in hardcover binding.
  • Q: What is the condition of the book? A: The book is in new condition.
  • Q: What category does this book fall under? A: This book falls under the category of Computer Science.
  • Q: What edition is 'Principles of Parallel Programming'? A: This book is the first edition.
  • Q: Can this book help in understanding multi-core architecture? A: Yes, the book emphasizes the importance of parallel programming in the context of multi-core architecture, making it a valuable resource for understanding this topic.