ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data
Summary: GPU-parallel delimiter parsing via FSM simulation eliminates the sequential context pass, supporting expressive formats such as quoted fields. Scales to thousands of cores at 14.2 GB/s, with streaming PCIe transfers enabling 4.8 GB end-to-end parsing in 0.44 s. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Elias Stehle (Technical University of Munich)
- 2. Hans-Arno Jacobsen (Technical University of Munich)
BibTeX Citation
@article{stehle_vldb20,
title = {{ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data}},
author = {Stehle, Elias and Jacobsen, Hans-Arno},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {5},
pages = {616--628},
doi = {10.14778/3377369.3377372},
url = {https://doi.org/10.14778/3377369.3377372},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,012 | Parallel Index-based Stream Join on a Multicore CPU | 2020 | SIGMOD | 6.0102675e-05 |
| 7,766 | Scalable Structural Index Construction for JSON Analytics | 2021 | VLDB | 5.549481e-05 |
| 9,436 | GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example | 2023 | SIGMOD | 5.2692207e-05 |
| 9,989 | GpJSON: High-performance JSON Data Processing on GPUs | 2025 | VLDB | 5.1826377e-05 |
| 10,102 | Distributed Stream KNN Join | 2021 | SIGMOD | 5.1488731e-05 |
| 10,761 | Fast and Scalable Data Transfer Across Data Systems | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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