REAL-TIME HYPERSPECTRAL IMAGE ANALYSIS ON GPU HARDWARE : Performance impact of different GPU architecture implementations
This paper examines the optimization possibilities of using different GPU memory for a hyperspectral imaging algorithm. It focuses on the global memory, the shared memory, and the constant memory of the GPU. Three versions of the hyperspectral imaging algorithm are implemented utilizing the GPU’s gl...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-175881 |