Beena Gopalakrishnan Nair L, Meyer-Wegener K (2021)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2021
Publisher: IEEE
Pages Range: 54-59
Conference Proceedings Title: Proc. 37th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2021, Chania, Greece, April 19-22, 2021
Event location: Chania, Crete, Greece
URI: http://db.ict.ac.cn/HardBD-Active-2021/papers/HardBDActive21-1.pdf
DOI: 10.1109/ICDEW53142.2021.00017
Placing the processing power near the data, rather than shipping the data to the processor is inevitable and demanding in the era of Big Data. Thereby near-data processors gained much attention in recent years as they can reduce the massive data transfer between data sources and computing nodes. However, it is important to rethink the computing architecture to achieve the maximum advantage of near-data-processing technology, particularly for query-processing applications. In this paper, we propose a new approach to the query optimization in a relational DBMS, which considers the specialized computing capabilities of the attached FPGA-based near-data processors. The paper focuses on the hardware-conscious optimization using extended rules and cost models as well as on refining the optimization strategies for changes in the hardware state of execution. Our evaluations demonstrate that the proposed query-optimization approach can improve the processing of queries using near-data processors based on FPGAs.
APA:
Beena Gopalakrishnan Nair, L., & Meyer-Wegener, K. (2021). COPRAO: A Capability Aware Query Optimizer for reconfigurable Near Data Processors. In Proc. 37th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2021, Chania, Greece, April 19-22, 2021 (pp. 54-59). Chania, Crete, Greece, GR: IEEE.
MLA:
Beena Gopalakrishnan Nair, Lekshmi, and Klaus Meyer-Wegener. "COPRAO: A Capability Aware Query Optimizer for reconfigurable Near Data Processors." Proceedings of the Joint International Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems held in Conjunction with ICDE 2021, Chania, Crete, Greece IEEE, 2021. 54-59.
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