Hash Joins Meet CXL: A Fresh Look

Summary: Revisits CXL+DRAM interleaving for main-memory hash joins, presenting a phase-wise performance model that quantifies bandwidth gains versus CXL→DRAM data-movement costs. Shows selective partial movement of relations to DRAM often outperforms full relocation and offers practical guidelines for CXL-aware operator design. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 569
Venue: CIDR
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 9,967 | 30.67%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
52	Database Architecture Optimized for the new Bottleneck: Memory Access	1999	VLDB	0.00066474881
540	Design and Evaluation of Main Memory Hash Join Algorithms for Multi-core CPUs	2011	SIGMOD	0.0002063443
1,804	An Experimental Comparison of Thirteen Relational Equi-Joins in Main Memory	2016	SIGMOD	0.00010501185
3,721	To Partition, or Not to Partition, That is the Join Question in a Real System	2021	SIGMOD	6.8179379e-05
5,621	CXL and the Return of Scale-Up Database Engines	2024	VLDB	5.4061827e-05
6,536	Database Kernels: Seamless Integration of Database Systems and Fast Storage via CXL	2024	CIDR	5.024107e-05
7,408	An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA	2024	VLDB	4.7371479e-05
8,390	Pasha: An Efficient, Scalable Database Architecture for CXL Pods	2025	CIDR	4.5292077e-05
8,513	CXL Memory Performance for In-Memory Data Processing	2025	VLDB	4.4947795e-05
8,855	A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory	2023	VLDB	4.4348906e-05

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