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...

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Bibliographic Details
Main Authors: Furqan Baig, Chao Gao, Dejun Teng, Jun Kong, Fusheng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Big Data
Subjects:
gpu
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2020.00014/full