GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP
Summary: GOLAP proposes a GPU-in-data-path for OLAP, streaming compressed blocks from SSDs into the GPU and decompressing on-the-fly during scans. It uses GPU-optimized pruning to boost read bandwidth, reaching up to 100 GiB/s and outperforming systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nils Boeschen
- 2. Tobias Ziegler
- 3. Carsten Binnig
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,568 | Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs | 2025 | VLDB | 4.7084322e-05 |
| 7,751 | Efficiently Processing Joins and Grouped Aggregations on GPUs | 2025 | SIGMOD | 4.6603427e-05 |
| 7,916 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 4.6173899e-05 |
| 9,970 | Rethinking Analytical Processing in the GPU Era | 2026 | CIDR | 4.1945683e-05 |
| 9,975 | Cloudspecs: Cloud Hardware Evolution Through the Looking Glass | 2026 | CIDR | 4.1945683e-05 |
| 10,621 | BLAEQ: A Multigrid Index for Spatial Query on Geometry Data | 2025 | VLDB | 4.1945683e-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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