JAFAR: Near-Data Processing for Databases
Summary: JAFAR proposes near-data processing to push selects into memory, rethinking in-memory DB query execution. Hardware simulation reports up to 900% speedup for selects in modern column-stores, mitigating data movement with near-memory accelerators. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,431 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD | 4.7274757e-05 |
| 7,689 | Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads | 2022 | VLDB | 4.6727982e-05 |
| 7,999 | nKV in Action: Accelerating KV-Stores on Native Computational Storage with Near-Data Processing | 2020 | VLDB | 4.6065616e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
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