Big data simulation for surface reconstruction on CPU-GPU platform
This paper discusses on CPU-GPU collaboration in surface reconstruction process from CT scan image, in this case human head. This type of image consists hundreds of data points and needs a powerful processor to ensure the accurateness of result. Therefore, an architecture to segment the whole proces...
| Published in: | Journal of Physics: Conference Series |
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| Format: | Conference paper |
| Language: | English |
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Institute of Physics Publishing
2019
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066297047&doi=10.1088%2f1742-6596%2f1192%2f1%2f012006&partnerID=40&md5=05f8d35508dfed2595b63c8195c991bb |
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2-s2.0-85066297047 Hadi N.A. Big data simulation for surface reconstruction on CPU-GPU platform 2019 Journal of Physics: Conference Series 1192 1 10.1088/1742-6596/1192/1/012006 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066297047&doi=10.1088%2f1742-6596%2f1192%2f1%2f012006&partnerID=40&md5=05f8d35508dfed2595b63c8195c991bb This paper discusses on CPU-GPU collaboration in surface reconstruction process from CT scan image, in this case human head. This type of image consists hundreds of data points and needs a powerful processor to ensure the accurateness of result. Therefore, an architecture to segment the whole process to CPU and GPU is designed. Comparison of CPU and GPU is done based on execution time and speedup for total number of the data points up to 105. From the analysis, it is shown that the maximum speedup is more than 15 for a process. © Published under licence by IOP Publishing Ltd. Institute of Physics Publishing 17426588 English Conference paper All Open Access; Gold Open Access |
| author |
Hadi N.A. |
| spellingShingle |
Hadi N.A. Big data simulation for surface reconstruction on CPU-GPU platform |
| author_facet |
Hadi N.A. |
| author_sort |
Hadi N.A. |
| title |
Big data simulation for surface reconstruction on CPU-GPU platform |
| title_short |
Big data simulation for surface reconstruction on CPU-GPU platform |
| title_full |
Big data simulation for surface reconstruction on CPU-GPU platform |
| title_fullStr |
Big data simulation for surface reconstruction on CPU-GPU platform |
| title_full_unstemmed |
Big data simulation for surface reconstruction on CPU-GPU platform |
| title_sort |
Big data simulation for surface reconstruction on CPU-GPU platform |
| publishDate |
2019 |
| container_title |
Journal of Physics: Conference Series |
| container_volume |
1192 |
| container_issue |
1 |
| doi_str_mv |
10.1088/1742-6596/1192/1/012006 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066297047&doi=10.1088%2f1742-6596%2f1192%2f1%2f012006&partnerID=40&md5=05f8d35508dfed2595b63c8195c991bb |
| description |
This paper discusses on CPU-GPU collaboration in surface reconstruction process from CT scan image, in this case human head. This type of image consists hundreds of data points and needs a powerful processor to ensure the accurateness of result. Therefore, an architecture to segment the whole process to CPU and GPU is designed. Comparison of CPU and GPU is done based on execution time and speedup for total number of the data points up to 105. From the analysis, it is shown that the maximum speedup is more than 15 for a process. © Published under licence by IOP Publishing Ltd. |
| publisher |
Institute of Physics Publishing |
| issn |
17426588 |
| language |
English |
| format |
Conference paper |
| accesstype |
All Open Access; Gold Open Access |
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1809677903891267584 |