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Fast Data Stream Algorithms using Associative Memories

Summary: Leverages the integrated NPU-TCAM architecture to accelerate data stream summarization at gigabit rates. Proposes two TCAM-conscious algorithms for the frequent elements problem and evaluates them on a state-of-the-art networking platform. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h27f1f6814e04bdc4
Venue
SIGMOD
Year
2007
Pagerank
6.8061151e-05
Overall Rank
4,099 | 72.46%
DOI
10.1145/1247480.1247510

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bandi_sigmod07,
        title = {{Fast Data Stream Algorithms using Associative Memories}},
        author = {Bandi, Nagender and Metwally, Ahmed and Agrawal, Divyakant and Abbadi, Amr El},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247510},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247510},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
911 Finding Frequent Items in Data Streams 2008 VLDB 0.0001312057
2,220 Streams on Wires — A Query Compiler for FPGAs 2009 VLDB 8.8116311e-05
3,514 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2395322e-05
6,156 FPGA: What's in it for a Database? 2009 SIGMOD 5.8659742e-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.

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