An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives

Summary: Proposes an application-specific instruction set extension for set-oriented DB primitives to realize a customizable database processor. Demonstrates ~960× energy savings vs high-end x86 with comparable throughput, enabled by tailor-made hardware for data-management workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4869
Venue: SIGMOD
Year: 2014
Pagerank: 5.3251649e-05
Overall Rank: 9,082 | 37.69%
DOI: 10.1145/2588555.2593677

Incoming Non-self Citations Over Time

Authors

1. Oliver Arnold (Technical University of Dresden)
2. Sebastian Haas (Technical University of Dresden)
3. Gerhard Fettweis (Technical University of Dresden)
4. Benjamin Schlegel (Oracle; Technical University of Dresden)
5. Thomas Kissinger (Technical University of Dresden)
6. Wolfgang Lehner (Technical University of Dresden)

BibTeX Citation

@inproceedings{arnold_sigmod14,
        title = {{An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives}},
        author = {Arnold, Oliver and Haas, Sebastian and Fettweis, Gerhard and Schlegel, Benjamin and Kissinger, Thomas and Lehner, Wolfgang},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2593677},
        url = {https://dl.acm.org/doi/10.1145/2588555.2593677},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,116	Program your (custom) SIMD instruction set on FPGA in C++	2024	CIDR	5.093636e-05
11,913	RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt	2018	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
216	SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units	2009	VLDB	0.00024498128
252	Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited	2014	VLDB	0.00023242719
278	FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs	2010	SIGMOD	0.00022476841
293	Implementing Database Operations Using SIMD Instructions	2002	SIGMOD	0.00022259273
712	Efficient Implementation of Sorting on Multi-Core SIMD CPU Architecture	2008	VLDB	0.0001468812
922	Data Processing on FPGAs	2009	VLDB	0.00013207382
1,188	Bucket Spreading Parallel Hash: A New, Robust, Parallel Hash Join Method for Data Skew in the Super Database Computer (SDC)	1990	VLDB	0.00011756444
1,369	How Soccer Players Would do Stream Joins	2011	SIGMOD	0.0001099892
2,139	CellSort: High Performance Sorting on the Cell Processor	2007	VLDB	9.1061768e-05
2,181	Streams on Wires — A Query Compiler for FPGAs	2009	VLDB	9.0101847e-05
2,245	Fast Set Intersection in Memory	2011	VLDB	8.8734284e-05
3,524	Lazy, Adaptive RID-List Intersection, and Its Application to Index Anding	2007	SIGMOD	7.3448437e-05

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