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Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS

Summary: Semantic-aware, fine-grained caching guides CPU-GPU data placement by workload semantics, data correlations, and query frequency. Heterogeneous executor coordinates CPU-GPU execution in Mordred; on Star Schema Benchmark, it beats traditional caching by up to 3x and GPU DBMSs by an order of magnitude. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12928
Venue
VLDB
Year
2022
Pagerank
6.8073248e-05
Overall Rank
4,243 | 70.90%
DOI
10.14778/3551793.3551809

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yogatama_vldb22,
        title = {{Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS}},
        author = {Yogatama, Bobbi W. and Gong, Weiwei and Yu, Xiangyao},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {2491--2503},
        doi = {10.14778/3551793.3551809},
        url = {https://doi.org/10.14778/3551793.3551809},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank Citing Paper Year Venue Pagerank
3,877 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0532293e-05
5,422 GPU Database Systems Characterization and Optimization 2024 VLDB 6.2245373e-05
5,778 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 6.0918646e-05
6,065 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 5.9895288e-05
7,058 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 5.7154673e-05
7,432 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6199783e-05
7,591 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.5900315e-05
7,959 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.5181056e-05
8,808 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3661351e-05
9,376 H-Rocks: CPU-GPU accelerated Heterogeneous RocksDB on Persistent Memory 2025 SIGMOD 5.2755515e-05
9,873 Workload Placement on Heterogeneous CPU-GPU Systems 2024 VLDB 5.2043672e-05
10,118 Rethinking Analytical Processing in the GPU Era 2026 CIDR 5.093636e-05
10,409 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 5.093636e-05
10,580 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.093636e-05
10,691 Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB 2025 SIGMOD 5.093636e-05
10,985 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.093636e-05
11,231 Accelerating Merkle Patricia Trie with GPU 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 24 of 24 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
105 Quickly Generating Billion-Record Synthetic Databases 1994 SIGMOD 0.00033877899
305 GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management 2006 SIGMOD 0.00021872796
631 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015591241
823 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00013792901
912 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013269804
1,466 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001068941
1,574 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010321274
1,666 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010068964
1,977 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.3641101e-05
2,140 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 9.0991487e-05
2,504 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4963369e-05
2,566 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.4116562e-05
2,667 A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs 2017 SIGMOD 8.2756346e-05
2,713 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2122726e-05
3,134 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 7.7231028e-05
3,178 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.6630901e-05
3,227 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 7.6217889e-05
3,471 In-Cache Query Co-Processing on Coupled CPU-GPU Architectures 2015 VLDB 7.3885861e-05
3,791 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.1235328e-05
4,376 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7364442e-05
4,478 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.6789258e-05
5,092 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 6.3669454e-05
5,308 Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration 2016 SIGMOD 6.2720812e-05
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