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 | 4.1905499e-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 |
|---|---|---|---|---|
| 403 | Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited | 2014 | VLDB | 0.00024176677 |
| 771 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00016813054 |
| 2,044 | A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics | 2020 | SIGMOD | 9.6963999e-05 |
| 2,753 | Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores | 2015 | VLDB | 8.1722714e-05 |
| 5,437 | RTIndeX: Exploiting Hardware-Accelerated GPU Raytracing for Database Indexing | 2023 | VLDB | 5.5043792e-05 |
| 5,473 | TAOBench: An End-to-End Benchmark for Social Network Workloads | 2022 | VLDB | 5.4886728e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,046 | Efficient Parallel Lists Intersection and Index Compression Algorithms using Graphics Processing Units | 2011 | VLDB | 9.6922338e-05 |
| 3,899 | Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment | 2021 | VLDB | 6.6513982e-05 |
| 1,685 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD | 0.0001090924 |
| 7,544 | Is Perfect Hashing Practical for OLAP Systems? | 2024 | CIDR | 4.710321e-05 |
| 11,023 | Accelerating Merkle Patricia Trie with GPU | 2024 | VLDB | 4.1905499e-05 |
| 2,523 | Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture | 2013 | VLDB | 8.599693e-05 |
| 771 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00016813054 |
| 8,476 | Analyzing Vectorized Hash Tables Across CPU Architectures | 2023 | VLDB | 4.4972784e-05 |
| 7,752 | Efficiently Processing Joins and Grouped Aggregations on GPUs | 2025 | SIGMOD | 4.6558737e-05 |
| 10,867 | Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment | 2025 | VLDB | 4.1905499e-05 |