Abstract: Cross-matching in astronomy is a basic procedure for comprehensibly analyzing the relations among different celestial objects.
This algorithm has a low computing complexity in the stage of partitioning and searching the nearby subarea, which can apparently accelerate the process of coss ...
2014 IEEE 28th International Parallel & Distributed Processing Symposium Workshops. 978-1-4799-4116-2/14 $31.00 © 2014 IEEE. DOI 10.1109/IPDPSW.2014.193.
Optimizing the join operation on hive to accelerate cross-matching in astronomy ... A case study of optimizing big data analytical stacks using structured ...
They either only... View · Optimizing The Join Operation on Hive to Accelerate Cross-Matching in Astronomy. Conference Paper. Full-text available. May 2014.
Optimizing The Join Operation on Hive to Accelerate Cross-Matching in Astronomy Liang Li, Dixin Tang, Taoying Liu, Hong Liu, Wei Li,Chenzhou Cui Institute ...
"Optimizing the Join Operation on Hive to Accelerate Cross-Matching in Astronomy", Liang. Li, Dixin Tang, Taoying Liu, Hong Liu, Wei Li, Chenzhou Cui. 2014 ...
Optimizing the Join Operation on Hive to Accelerate Cross-Matching in. Astronomy. IEEE, City, 2014. [7] Aji, A., Wang, F., Vo, H., Lee, R., Liu, Q., Zhang, X ...
TL;DR: This study proposes an optimized method for cross-matching by MapReduce based join operators and shows that the method has a remarkable improvement to ...
Jul 27, 2024 · Several strategies for improving the performance of Hive queries are outlined. The key focus is on enhancing query efficiency and reducing resource consumption.