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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
h0cc1b96d038f6904
Venue
VLDB
Year
2022
Pagerank
6.945725e-05
Overall Rank
3,888 | 73.87%
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 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
3,808 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0097354e-05
4,480 GPU Database Systems Characterization and Optimization 2024 VLDB 6.5807917e-05
4,989 GOLAP: A GPU-in-Data-Path Architecture for High-Speed OLAP 2024 SIGMOD 6.3247654e-05
5,541 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.0902254e-05
5,615 BOSS - An Architecture for Database Kernel Composition 2024 VLDB 6.0652416e-05
5,991 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.9247663e-05
6,151 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.8697699e-05
6,667 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.7152948e-05
7,523 Workload Placement on Heterogeneous CPU-GPU Systems 2024 VLDB 5.5025409e-05
8,236 Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs 2024 VLDB 5.3710413e-05
8,274 Scaling GPU-Accelerated Databases beyond GPU Memory Size 2025 VLDB 5.3642256e-05
9,047 Rethinking Analytical Processing in the GPU Era 2026 CIDR 5.2308307e-05
9,562 H-Rocks: CPU-GPU accelerated Heterogeneous RocksDB on Persistent Memory 2025 SIGMOD 5.1571823e-05
9,863 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.1176637e-05
10,601 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 4.9793485e-05
10,905 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9793485e-05
10,923 TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs 2026 VLDB 4.9793485e-05
11,127 Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB 2025 SIGMOD 4.9793485e-05
11,567 Accelerating Merkle Patricia Trie with GPU 2024 VLDB 4.9793485e-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 0.00064031282
106 Quickly Generating Billion-Record Synthetic Databases 1994 SIGMOD 0.00033526937
304 GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management 2006 SIGMOD 0.00021604795
616 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015561564
771 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014085862
856 Hardware-Oblivious Parallelism for In-Memory Column-Stores 2013 VLDB 0.00013428547
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,533 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010332035
1,541 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.00010313459
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
2,122 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 9.0084047e-05
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
2,466 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4222621e-05
2,487 A Memory Bandwidth-Efficient Hybrid Radix Sort on GPUs 2017 SIGMOD 8.3979719e-05
2,600 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2363864e-05
2,886 Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment 2021 VLDB 7.9081605e-05
3,053 MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures 2021 SIGMOD 7.7019663e-05
3,200 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.5437496e-05
3,491 In-Cache Query Co-Processing on Coupled CPU-GPU Architectures 2015 VLDB 7.2619913e-05
3,773 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0294475e-05
4,199 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7410637e-05
4,539 OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures 2013 VLDB 6.5532239e-05
5,132 Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware 2014 VLDB 6.2597754e-05
5,394 Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration 2016 SIGMOD 6.1497789e-05
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