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)
Incoming Non-self Citations Over Time
Authors
- 1. Oliver Arnold
- 2. Sebastian Haas
- 3. Gerhard Fettweis
- 4. Benjamin Schlegel
- 5. Thomas Kissinger
- 6. Wolfgang Lehner
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,893 | Program your (custom) SIMD instruction set on FPGA in C++ | 2024 | CIDR | 4.1945683e-05 |
| 11,708 | RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt | 2018 | SIGMOD | 4.1945683e-05 |
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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.
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