Hardware Acceleration of Compression and Encryption in SAP HANA
Summary: FPGA-based accelerator offloads compression and encryption in SAP HANA, addressing I/O bottlenecks in an in-memory DB. SAP HANA traces show compression-then-encryption pipelines, multiple cipher modes, and FPGA-based decryption with CPU decompression, yielding tunable latency/throughput and storage-cost trade-offs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Monica Chiosa (ETH Zurich)
- 2. Fabio Maschi (ETH Zurich)
- 3. Ingo Müller (ETH Zurich)
- 4. Gustavo Alonso (ETH Zurich)
- 5. Norman May (SAP)
BibTeX Citation
@article{chiosa_vldb22,
title = {{Hardware Acceleration of Compression and Encryption in SAP HANA}},
author = {Chiosa, Monica and Maschi, Fabio and Müller, Ingo and Alonso, Gustavo and May, Norman},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3277--3291},
doi = {10.14778/3554821.3554822},
url = {https://doi.org/10.14778/3554821.3554822},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,943 | CXL and the Return of Scale-Up Database Engines | 2024 | VLDB | 6.3442191e-05 |
| 8,804 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD | 5.2732683e-05 |
| 9,687 | DPDPU: Data Processing with DPUs | 2025 | CIDR | 5.1408809e-05 |
| 9,827 | AMNES: Accelerating the computation of data correlation using FPGAs | 2023 | VLDB | 5.1249969e-05 |
| 10,199 | DASH: Asynchronous Hardware Data Processing Services | 2023 | CIDR | 5.0617433e-05 |
| 10,669 | Predictive Translation: High-Performance Buffer Management Without the Trade-Offs | 2026 | SIGMOD | 4.9793485e-05 |
| 10,807 | dpKernels: Harvesting DPU Compute Resources for Data-path Efficiency in Cloud Data Processing | 2026 | VLDB | 4.9793485e-05 |
| 11,127 | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB | 2025 | SIGMOD | 4.9793485e-05 |
| 11,779 | Big Data Analytic Toolkit: A general-purpose, modular, and heterogeneous acceleration toolkit for data analytical engines | 2023 | VLDB | 4.9793485e-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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