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BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
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  • Title BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
  • Author(s) Alan Kaminsky
  • Publisher: Rochester Institute of Technology (2015)
  • Hardcover/Paperback N/A
  • eBook PDF (424 pages, 12.01 MB) and PDF files
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
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Book Description

The goal of this book is to teach you how to write parallel programs that take full advantage of the vast processing power of modern multicore computers, compute clusters, and graphics processing unit (GPU) accelerators.

To study parallel programming with this book, you’ll need the following prerequisite knowledge: Java programming; C programming (for GPU pro grams); computer organization concepts (CPU, memory, cache, and so on); operating system concepts (threads, thread synchronization).

About the Authors
  • Alan Kaminsky is a Professor at Department of Computer Science, Rochester Institute of Technology
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