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CUDA Optimization Strategies for Compute- and Memory-Bound Neuroimaging Algorithms
As neuroimaging algorithms and technology continue to grow faster than CPU performance in complexity and image resolution, data-parallel computing methods will be increasingly important. The high performance, data-parallel architecture of modern graphical processing units (GPUs) can reduce computati...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3262956/ https://ncbi.nlm.nih.gov/pubmed/21159404 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmpb.2010.10.013 |
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