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PiBench Online: Interactive Benchmarking of Persistent Memory Indexes

Summary: PiBench Online enables fair, reproducible benchmarking of persistent-memory indexes on real DCPMM hardware. Its web interface supports uploaded implementations and customizable workloads while collecting PM-specific hardware counters for interactive performance analysis. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12325
Venue
VLDB
Year
2020
Pagerank
5.5234705e-05
Overall Rank
7,883 | 45.92%
DOI
10.14778/3415478.3415483

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{hao_vldb20,
        title = {{PiBench Online: Interactive Benchmarking of Persistent Memory Indexes}},
        author = {Hao, Xiangpeng and Lersch, Lucas and Wang, Tianzheng and Oukid, Ismail},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2817--2820},
        doi = {10.14778/3415478.3415483},
        url = {https://doi.org/10.14778/3415478.3415483},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,682 Persistent Memory Hash Indexes: An Experimental Evaluation 2021 VLDB 6.5651164e-05
5,954 When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories 2023 SIGMOD 6.0292226e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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