DASH: Asynchronous Hardware Data Processing Services
Summary: DASH exposes FPGAs as network-accessible asynchronous hardware data-processing services for database clusters, decoupling compute-intensive operators from host CPUs instead of tight CPU–FPGA integration. Applied to RePair string-dictionary compression, DASH shows performance/cost benefits and outlines how the service model generalizes to other DB tasks and a research agenda. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Norman May (SAP)
- 2. Daniel Ritter (SAP)
- 3. Andre Dossinger (SAP)
- 4. Christian Färber (Intel)
- 5. Suleyman S. Demirsoy (Intel)
BibTeX Citation
@inproceedings{may_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{DASH: Asynchronous Hardware Data Processing Services}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {May, Norman and Ritter, Daniel and Dossinger, Andre and Färber, Christian and Demirsoy, Suleyman S.},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,804 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD | 5.2732683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 543 | Socrates: The New SQL Server in the Cloud | 2019 | SIGMOD | 0.0001663263 |
| 680 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00014828697 |
| 1,313 | X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing | 2019 | SIGMOD | 0.00011060108 |
| 1,778 | Ibex—An Intelligent Storage Engine with Support for Advanced SQL Off-loading | 2014 | VLDB | 9.6619986e-05 |
| 2,218 | Streams on Wires — A Query Compiler for FPGAs | 2009 | VLDB | 8.8157887e-05 |
| 3,861 | GaccO - A GPU-accelerated OLTP DBMS | 2022 | SIGMOD | 6.9656048e-05 |
| 7,209 | Hardware Acceleration of Compression and Encryption in SAP HANA | 2022 | VLDB | 5.5845533e-05 |
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| 7 | 7,282 | Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration | 2020 | VLDB |
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