Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104997
Title: When data management systems meet approximate hardware : Challenges and opportunities
Authors: He, Bingsheng
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Source: He, B. (2014). When data management systems meet approximate hardware : Challenges and opportunities. Proceedings of the VLDB endowment, 7(10), 877-880. doi: 10.14778/2732951.2732961
Series/Report no.: Proceedings of the VLDB endowment
Abstract: Recently, approximate hardware designs have got many research interests in the computer architecture community. The essential idea of approximate hardware is that the hardware components such as CPU, memory and storage can trade off the accuracy of results for increased performance, reduced energy consumption, or both. We propose a DBMS ApproxiDB with its design, implementation and optimization aware of the underlying approximate hardware. ApproxiDB will run on a hybrid machine consisting of both approximate hardware and precise hardware (i.e., the conventional hardware without sacrificing the accuracy). With approximate hardware, ApproxiDB can efficiently support the concept of approximate query processing, without the overhead of pre-computed synopses or sampling techniques. More importantly, ApproxiDB is also beneficial to precise query processing, by developing non-trivial hybrid execution mechanisms on both precise and approximate hardware. In this vision paper, we sketch the initial design of ApproxiDB, discuss the technical challenges in building this system and outline an agenda for future research.
URI: https://hdl.handle.net/10356/104997
http://hdl.handle.net/10220/20430
URL: http://www.vldb.org/pvldb/vol7/p877-he.pdf
DOI: 10.14778/2732951.2732961
Rights: © 2014 VLDB Endowment. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/. Obtain permission prior to any use beyond those covered by the license. Contact copyright holder by emailing info@vldb.org. Articles from this volume were invited to present their results at the 40th International Conference on Very Large Data Bases, September 1st - 5th 2014, Hangzhou, China.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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