Accelerating MATLAB with GPU computing a primer with examples
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 p...
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| Format: | eBook |
| Language: | English |
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Waltham, MA
Elsevier Science
2013, 2013
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| Online Access: | |
| Collection: | Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa |
| Summary: | 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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| Physical Description: | online resource (259 pages) illustrations |
| ISBN: | 9780124079168 0124079164 9780124080805 0124080804 |