The use of CPU and GPU for calculations in Matlab
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Published:
Mar 30, 2019
Issue Vol. 10 (2019)
Articles
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Comparison of tools for creating SPA applications using the examples of Angular2 and React
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Recording using a motion capture system and a mobile device with synchronization of the recording triggering
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Angle measurement accuracy assessment using inertial sensors in threedimensional coordinate system
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Modification of path-finding algorithms introducing time and distance limitations
18-23
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Performance analysis of methods for building applications on the Salesforce platform
24-27
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Analysis of the possibilities of testing SPA applications on the example of Selenium and Protractor tools
28-31
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The use of CPU and GPU for calculations in Matlab
32-35
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Comparative analysis of VR goggles
36-43
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Evaluation of methods for computing athlete’s energy expenditure implemented on Android devices
44-48
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Multithreaded programming in structural and object-oriented languages
49-53
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The use of postprocessing and its impact on rendering performance in the Unreal Engine 4
54-61
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Analysis of the quality of web application interface using eye-tracking – a case study
62-66
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Comparison of the effectiveness of selected face recognition algorithms for poor quality photos
67-70
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Comparison of new ways of creating PHP applications using Laravel and CodeIgniter example
71-76
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Implementation of management support tools projects in IT companies
77-81
Main Article Content
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Abstract
The article presents selected solutions using CPU processors and GPUs for calculations in the Matlab environment. Various methods of performing calculations on the CPU as well as on the GPU were compared. Differences, disadvantages, advantages and effects of using selected calculation methods have been indicated.
Keywords:
CPU; GPU; Matlab
Article Details
Woźniak, J. (2019). The use of CPU and GPU for calculations in Matlab . Journal of Computer Sciences Institute, 10, 32–35. https://doi.org/10.35784/jcsi.191
