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)

Paper ID: 5152
Venue: SIGMOD
Year: 2015
Pagerank: 5.7980528e-05
Overall Rank: 6,702 | 54.02%
DOI: 10.1145/2723372.2764942

Incoming Non-self Citations Over Time

Authors

1. Aurelia Augusta (Harvard University)
2. Stratos Idreos (Harvard University)

BibTeX Citation

@inproceedings{augusta_sigmod15,
        title = {{JAFAR: Near-Data Processing for Databases}},
        author = {Augusta, Aurelia and Idreos, Stratos},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2764942},
        url = {https://dl.acm.org/doi/10.1145/2723372.2764942},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,917	Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads	2022	VLDB	6.043185e-05
7,173	CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases	2022	SIGMOD	5.6830655e-05
7,997	nKV in Action: Accelerating KV-Stores on Native Computational Storage with Near-Data Processing	2020	VLDB	5.5095061e-05

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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