ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator
Summary: ExtraV enables near-storage graph processing with a cache-coherent AFU, using virtualization for a memory-like view over compressed data. Host coordinates execution; AFU provides traversals; Power8 with CAPI-FPGA prototype yields speedups vs software-only. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jinho Lee (IBM)
- 2. Heesu Kim (Seoul National University)
- 3. Sungjoo Yoo (Seoul National University)
- 4. Kiyoung Choi (Seoul National University)
- 5. H. Peter Hofstee (Delft University of Technology; IBM)
- 6. Gi-Joon Nam (IBM)
- 7. Mark R. Nutter (IBM)
- 8. Damir Jamsek (IBM)
BibTeX Citation
@article{lee_vldb17,
title = {{ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator}},
author = {Lee, Jinho and Kim, Heesu and Yoo, Sungjoo and Choi, Kiyoung and Hofstee, H. Peter and Nam, Gi-Joon and Nutter, Mark R. and Jamsek, Damir},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
pages = {1706--1719},
doi = {10.14778/3137765.3137772},
url = {https://doi.org/10.14778/3137765.3137772},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,173 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD | 5.6830655e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 20 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00056944564 |
| 1,130 | Query Processing on Smart SSDs: Opportunities and Challenges | 2013 | SIGMOD | 0.00012052236 |
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