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TCUDB: Accelerating Database with Tensor Processors

Summary: TCUDB uses NVIDIA Tensor Core Units to accelerate database workloads by treating joins and aggregates as matrix ops on TCUs. Reports up to 288x speedups vs a GPU baseline on entity matching, graph queries, and matrix-based analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hd1f11b71866d24d9
Venue
SIGMOD
Year
2022
Pagerank
6.8881464e-05
Overall Rank
3,972 | 73.30%
DOI
10.1145/3514221.3517869

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hu_sigmod22,
        title = {{TCUDB: Accelerating Database with Tensor Processors}},
        author = {Hu, Yu-Ching and Li, Yuliang and Tseng, Hung-Wei},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517869},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517869},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
2,460 Query Processing on Tensor Computation Runtimes 2022 VLDB 8.4348335e-05
5,496 Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations 2022 VLDB 6.1049663e-05
5,541 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.0902254e-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
6,550 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 5.7503043e-05
9,032 TGraph: A Tensor-centric Graph Processing Framework 2025 SIGMOD 5.2338437e-05
9,656 BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach 2023 SIGMOD 5.1453267e-05
9,863 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.1176637e-05
10,143 Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS 2026 CIDR 5.0715586e-05
10,465 GraphRTX: Lighting the Way to Scalable Graph Analytics 2026 SIGMOD 4.9793485e-05
10,504 SPALM: A Sparsity-Pattern-Adaptive Library for Matrices 2026 SIGMOD 4.9793485e-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
10,937 RayDB: Building Databases with Ray Tracing Cores 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 33 of 33 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
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028046388
304 GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management 2006 SIGMOD 0.00021604795
315 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021246
331 Column-Stores vs. Row-Stores: How Different Are They Really? 2008 SIGMOD 0.0002077683
427 Big Data Integration 2013 VLDB 0.00018465558
530 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00016855162
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
857 Storage Management in the NVRAM Era 2014 VLDB 0.00013427334
1,139 Query Processing on Smart SSDs: Opportunities and Challenges 2013 SIGMOD 0.00011860667
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,327 Column-oriented Database Systems 2009 VLDB 0.00011003776
1,454 Fast Computation of Database Operations using Graphics Processors 2004 SIGMOD 0.00010601431
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
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
2,600 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2363864e-05
2,778 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0299506e-05
2,815 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9777435e-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
3,518 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.2400627e-05
3,578 Aggregation Support for Modern Graph Analytics in TigerGraph 2020 SIGMOD 7.1926749e-05
3,737 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0628666e-05
3,773 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0294475e-05
5,487 Fast Join Project Query Evaluation using Matrix Multiplication 2020 SIGMOD 6.1096421e-05
6,154 FPGA: What's in it for a Database? 2009 SIGMOD 5.8687334e-05
6,631 A Relational Matrix Algebra and its Implementation in a Column Store 2020 SIGMOD 5.7270666e-05
6,906 MILC: Inverted List Compression in Memory 2017 VLDB 5.6498626e-05
7,282 Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration 2020 VLDB 5.5666052e-05
7,297 FrogWild! – Fast PageRank Approximations on Graph Engines 2015 VLDB 5.5618017e-05
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# Overall Rank Paper Year Venue
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