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141222 ||| eng |
| 020 |
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|a 9780124079168
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| 020 |
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|a 0124079164
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| 020 |
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|a 9780124080805
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| 020 |
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|a 0124080804
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| 100 |
1 |
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|a Suh, Jung W.
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| 245 |
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|a Accelerating MATLAB with GPU computing
|h [electronic resource]
|h Elektronische Ressource
|b a primer with examples
|c Jung W. Suh, Youngmin Kim
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| 260 |
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|a Waltham, MA
|b Elsevier Science
|c 2013, 2013
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| 300 |
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|a online resource (259 pages)
|b illustrations
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| 653 |
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|a Graphics processing units / fast / (OCoLC)fst01749680
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| 653 |
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|a MATLAB.
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| 653 |
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|a Graphics processing units
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| 653 |
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|a MATLAB. / fast / (OCoLC)fst01365096
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| 653 |
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|a COMPUTERS / General / bisacsh
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| 700 |
1 |
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|a Kim, Youngmin
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ESD
|a Elsevier ScienceDirect eBooks
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| 856 |
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|u http://www.sciencedirect.com/science/book/9780124080805
|x Verlag
|3 Volltext
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| 082 |
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|a 006.6
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| 520 |
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|a Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting
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