[PDF.77si] Big CPU, Big Data: Solving the World's Toughest Computational Problems with Parallel Computing

Big CPU, Big Data: Solving the World's Toughest Computational Problems with Parallel Computing

[PDF.ya59] Big CPU, Big Data: Solving the World's Toughest Computational Problems with Parallel Computing

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 | #797677 in Books |  2016-07-30 | Original language:English |  9.00 x1.14 x6.00l,1.48 | File type: PDF | 504 pages

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||About the Author|With 39 years of industrial and academic computing experience, Alan Kaminsky has been teaching parallel computing since 2004. He is a professor in the Department of Computer Science at the Rochester Institute of Technology.

In the twenty-first century, scientists and engineers are tackling the world's toughest computational problems with parallel computing. Using multiple processor cores running simultaneously, parallel computers are solving these problems in less time and with greater accuracy than ever before. Even desktop PCs nowadays are powerful parallel computers. To take full advantage of the capabilities of these machines, programmers must learn to write parallel programs.

You can specify the type of files you want, for your gadget.Big CPU, Big Data: Solving the World's Toughest Computational Problems with Parallel Computing   |  Alan Kaminsky. A good, fresh read, highly recommended.

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