GPH: An Efficient and Effective Perfect Hashing Scheme for GPU Architectures
Summary: GPH is a GPU-based perfect-hashing hash table guaranteeing a single bucket probe per lookup, with a micro-benchmark and analytic model for uniform performance evaluation. It exploits vectorization and ILP for global-memory efficiency and adds an insert kernel for dynamic updates; achieves about 8500 MOPS on synthetic and real workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiaping Cao
- 2. Le Xu
- 3. Man Lung Yiu
- 4. Jianbin Qin
- 5. Bo Tang
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,121 | TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 404 | Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited | 2014 | VLDB | 0.00024143076 |
| 775 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00016823862 |
| 2,040 | A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics | 2020 | SIGMOD | 9.7057698e-05 |
| 2,751 | Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores | 2015 | VLDB | 8.1760621e-05 |
| 5,426 | RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing | 2023 | VLDB | 5.5096704e-05 |
| 5,463 | TAOBench: An End-to-End Benchmark for Social Network Workloads | 2022 | VLDB | 5.4938614e-05 |
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