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Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC
Spatial cross-matching operation over geospatial polygonal datasets is a highly compute-intensive yet an essential task to a wide array of real-world applications. At the same time, modern computing systems are typically equipped with multiple processing units capable of task parallelization and opt...
Tallennettuna:
| Julkaisussa: | Front Big Data |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7497850/ https://ncbi.nlm.nih.gov/pubmed/32954255 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fdata.2020.00014 |
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