SDS
Author:
Affiliation:
1. Lawrence Berkeley National Laboratory, Berkeley, CA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2538542.2538563
Reference17 articles.
1. Taming parallel I/O complexity with auto-tuning
2. Overview of sciDB
3. M. Chaarawi and Q. Koziol. HDF5 Virtual Object Layer. Technical report Available: https://confluence.hdfgroup.uiuc.edu/display-/VOL/Virtual+Object+Layer 2011. M. Chaarawi and Q. Koziol. HDF5 Virtual Object Layer. Technical report Available: https://confluence.hdfgroup.uiuc.edu/display-/VOL/Virtual+Object+Layer 2011.
4. FastQuery: A Parallel Indexing System for Scientific Data
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1. Optimizing data query performance of Bi-cluster for large-scale scientific data in supercomputers;The Journal of Supercomputing;2021-06-29
2. Raw data queries during data-intensive parallel workflow execution;Future Generation Computer Systems;2017-10
3. ArrayUDF;Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing;2017-06-26
4. Towards automated prediction of relationships among scientific datasets;Proceedings of the 27th International Conference on Scientific and Statistical Database Management;2015-06-29
5. Heavy-tailed distribution of parallel I/O system response time;Proceedings of the 10th Parallel Data Storage Workshop on - PDSW '15;2015
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