When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities
Summary: Introduces ApproxiDB, a DBMS co-designed for hybrid approximate/precise hardware, using hardware-level accuracy–performance tradeoffs for approximate query processing without synopses or sampling. It also explores hybrid execution that accelerates exact queries and poses key systems challenges. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Bingsheng He (Nanyang Technological University)
BibTeX Citation
@article{he_vldb14,
title = {{When Data Management Systems Meet Approximate Hardware: Challenges and Opportunities}},
author = {He, Bingsheng},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {10},
pages = {877--888},
doi = {10.14778/2732951.2732961},
url = {https://doi.org/10.14778/2732951.2732961},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,033 | A Study of Sorting Algorithms on Approximate Memory | 2016 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 136 | Join Synopses for Approximate Query Answering | 1999 | SIGMOD | 0.00030123303 |
| 363 | Approximate Query Processing: Taming the TeraBytes! A Tutorial | 2001 | VLDB | 0.0002005475 |
| 512 | Tree Indexing on Solid State Drives | 2010 | VLDB | 0.00017196795 |
| 721 | Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct | 2009 | VLDB | 0.00014631814 |
| 1,996 | Write-limited sorts and joins for persistent memory | 2014 | VLDB | 9.3396464e-05 |
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