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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
6.8848857e-05
Overall Rank
3,974 | 73.30%
DOI
10.1145/3514221.3517869
PDF
Download (CC BY-NC 4.0)

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 8.4308406e-05
5,500 Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations 2022 VLDB 6.1020763e-05
5,543 Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics 2025 VLDB 6.0873423e-05
5,991 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.9219616e-05
6,153 Efficiently Processing Joins and Grouped Aggregations on GPUs 2025 SIGMOD 5.8669913e-05
6,552 JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023 VLDB 5.7475822e-05
9,040 TGraph: A Tensor-centric Graph Processing Framework 2025 SIGMOD 5.2313661e-05
9,663 BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach 2023 SIGMOD 5.142891e-05
9,870 GPU Acceleration of SQL Analytics on Compressed Data 2026 VLDB 5.115241e-05
10,147 Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS 2026 CIDR 5.0691578e-05
10,476 GraphRTX: Lighting the Way to Scalable Graph Analytics 2026 SIGMOD 4.9769913e-05
10,515 SPALM: A Sparsity-Pattern-Adaptive Library for Matrices 2026 SIGMOD 4.9769913e-05
10,612 TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap 2026 SIGMOD 4.9769913e-05
10,914 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9769913e-05
10,946 RayDB: Building Databases with Ray Tracing Cores 2026 VLDB 4.9769913e-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 0.00064013679
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028038831
304 GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management 2006 SIGMOD 0.00021598803
315 Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018 PODS 0.00021236408
331 Column-Stores vs. Row-Stores: How Different Are They Really? 2008 SIGMOD 0.0002076806
428 Big Data Integration 2013 VLDB 0.00018457189
530 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00016847532
616 Relational Joins on Graphics Processors 2008 SIGMOD 0.00015554627
775 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.0001407924
856 Storage Management in the NVRAM Era 2014 VLDB 0.000134246
1,139 Query Processing on Smart SSDs: Opportunities and Challenges 2013 SIGMOD 0.0001185547
1,269 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.00011254742
1,328 Column-oriented Database Systems 2009 VLDB 0.00010998855
1,454 Fast Computation of Database Operations using Graphics Processors 2004 SIGMOD 0.00010596726
1,534 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010327147
1,542 HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016 VLDB 0.0001030858
2,124 Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture 2013 VLDB 9.0041425e-05
2,287 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.691301e-05
2,466 Concurrent Analytical Query Processing with GPUs 2014 VLDB 8.4182778e-05
2,601 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2325291e-05
2,778 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0261532e-05
2,816 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9740083e-05
3,202 Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013 VLDB 7.5401819e-05
3,518 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.236638e-05
3,571 Aggregation Support for Modern Graph Analytics in TigerGraph 2020 SIGMOD 7.1947128e-05
3,739 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0595382e-05
3,775 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0261504e-05
5,491 Fast Join Project Query Evaluation using Matrix Multiplication 2020 SIGMOD 6.1067499e-05
6,156 FPGA: What's in it for a Database? 2009 SIGMOD 5.8659742e-05
6,634 A Relational Matrix Algebra and its Implementation in a Column Store 2020 SIGMOD 5.7243855e-05
6,908 MILC: Inverted List Compression in Memory 2017 VLDB 5.6471881e-05
7,285 Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration 2020 VLDB 5.5639701e-05
7,301 FrogWild! – Fast PageRank Approximations on Graph Engines 2015 VLDB 5.5591688e-05
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# Overall Rank Paper Year Venue
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