Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture
Summary: ACCORDA: encoding-aware operator interfaces with a uniform runtime for raw data. UDP in memory accelerates parsing/decompression 16–21x and deserialization up to 160x, yielding 2.9x–13.2x speedups vs SparkSQL and ~80% gains from encoding-driven optimizations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuanwei Fang
- 2. Chen Zou
- 3. Andrew A. Chien
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,841 | Farview: Disaggregated Memory with Operator Off-loading for Database Engines | 2022 | CIDR | 6.7103563e-05 |
| 5,621 | CXL and the Return of Scale-Up Database Engines | 2024 | VLDB | 5.4061827e-05 |
| 6,367 | Good to the Last Bit: Data-Driven Encoding with CodecDB | 2021 | SIGMOD | 5.0941072e-05 |
| 8,094 | Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms | 2021 | VLDB | 4.5867812e-05 |
| 8,441 | Tackling Hardware/Software co-design from a database perspective | 2020 | CIDR | 4.5124343e-05 |
| 11,589 | Making Search Engines Faster by Lowering the Cost of Querying Business Rules Through FPGAs | 2020 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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