Database Processing-in-Memory: An Experimental Study

Summary: First database study comparing PIM and AVX-512 x86 for SIMD operators across materialized, vectorized, and pipelined execution. Hybrid scheduling cuts runtime 45% and energy consumption by over 2× versus hardware-specific plans. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 12401
Venue: VLDB
Year: 2020
Pagerank: 6.1822684e-05
Overall Rank: 5,536 | 62.02%
DOI: 10.14778/3368289.3368298

Incoming Non-self Citations Over Time

Authors

1. Tiago R. Kepe (Federal Institute of Paraná; Universidade Federal do Paraná)
2. Eduardo C. de Almeida (Universidade Federal do Paraná)
3. Marco A. Z. Alves (Universidade Federal do Paraná)

BibTeX Citation

@article{kepe_vldb20,
        title = {{Database Processing-in-Memory: An Experimental Study}},
        author = {Kepe, Tiago R. and de Almeida, Eduardo C. and Alves, Marco A. Z.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {3},
        pages = {334--347},
        doi = {10.14778/3368289.3368298},
        url = {https://doi.org/10.14778/3368289.3368298},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,202	Quantifying TPC-H Choke Points and Their Optimizations	2020	VLDB	8.9639459e-05
3,632	FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS	2021	VLDB	7.2368817e-05
6,957	Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs	2023	SIGMOD	5.7303405e-05
7,173	CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases	2022	SIGMOD	5.6830655e-05
10,971	No Cap, This Memory Slaps: Breaking Through the Memory Wall of Transactional Database Systems with Processing-in-Memory	2025	VLDB	5.093636e-05
11,070	Disaggregation: A New Architecture for Cloud Databases	2025	VLDB	5.093636e-05
11,080	Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

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
14	MonetDB/X100: Hyper-Pipelining Query Execution	2005	CIDR	0.0006312782
23	Efficiently Compiling Efficient Query Plans for Modern Hardware	2011	VLDB	0.00054886415
209	Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs	2009	VLDB	0.00024932174
473	Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores	2015	VLDB	0.00017900942
634	Rethinking SIMD Vectorization for In-Memory Databases	2015	SIGMOD	0.00015533814
649	Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask	2018	VLDB	0.00015320656
712	Efficient Implementation of Sorting on Multi-Core SIMD CPU Architecture	2008	VLDB	0.0001468812
1,130	Query Processing on Smart SSDs: Opportunities and Challenges	2013	SIGMOD	0.00012052236
1,977	HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines	2019	VLDB	9.3641101e-05
4,177	SIMD- and Cache-Friendly Algorithm for Sorting an Array of Structures	2015	VLDB	6.8499317e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	11,358	Pipeline Group Optimization on Disaggregated Systems	2023	CIDR
2	10,971	No Cap, This Memory Slaps: Breaking Through the Memory Wall of Transactional Database Systems with Processing-in-Memory	2025	VLDB
3	6,255	Elastic Pipelining in an In-Memory Database Cluster	2016	SIGMOD
4	8,609	CXL Memory Performance for In-Memory Data Processing	2025	VLDB
5	293	Implementing Database Operations Using SIMD Instructions	2002	SIGMOD
6	634	Rethinking SIMD Vectorization for In-Memory Databases	2015	SIGMOD
7	9,612	Memory Efficient Scheduling of Query Pipeline Execution	2022	CIDR
8	12,051	Vectorizing an In Situ Query Engine	2016	SIGMOD
9	109	DBMSs On A Modern Processor: Where Does Time Go?	1999	VLDB
10	6,277	Rethinking MIMD-SIMD Interplay for Analytical Query Processing in In-Memory Database Engines	2025	CIDR