A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory
Summary: Design-space exploration and empirical evaluation of main-memory partitioned (PHJ) and non-partitioned (NPHJ) hash joins on real storage-class memory (SCM), identifying SCM-sensitive implementation factors. Extensive workload-driven experiments show no universal winner but PHJ generally outperforms NPHJ in realistic SCM setups and yield practical guidelines for SCM-friendly join design. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wentao Huang
- 2. Yunhong Ji
- 3. Xuan Zhou
- 4. Bingsheng He
- 5. Kian-Lee Tan
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,845 | Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt | 2025 | SIGMOD | 4.4331879e-05 |
| 9,322 | Are Joins over LSM-trees Ready? Take RocksDB as an Example | 2025 | VLDB | 4.351469e-05 |
| 9,966 | Hash Joins Meet CXL: A Fresh Look | 2026 | CIDR | 4.1905499e-05 |
| 11,012 | Sorting on Byte-Addressable Storage: The Resurgence of Tree Structure | 2024 | VLDB | 4.1905499e-05 |
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Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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