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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
6383
Venue
SIGMOD
Year
2022
Pagerank
6.9096857e-05
Overall Rank
4,089 | 71.95%
DOI
10.1145/3514221.3517869
Incoming Non-self Citations Over Time
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}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 33 of 33 cited papers.
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Rank
Cited Paper
Year
Venue
Pagerank
14
MonetDB/X100: Hyper-Pipelining Query Execution 2005
CIDR
0.0006312782
176
Deep Learning for Entity Matching: A Design Space Exploration 2018
SIGMOD
0.00027191081
305
GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management 2006
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321
Worst-Case Optimal Join Algorithms: Techniques, Results, and Open Problems 2018
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Column-Stores vs. Row-Stores: How Different Are They Really? 2008
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Big Data Integration 2013
VLDB
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529
Magellan: Toward Building Entity Matching Management Systems 2016
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631
Relational Joins on Graphics Processors 2008
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The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013
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840
Storage Management in the NVRAM Era 2014
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1,130
Query Processing on Smart SSDs: Opportunities and Challenges 2013
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0.00012052236
1,395
Column-oriented Database Systems 2009
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0.00010928358
1,452
Fast Computation of Database Operations using Graphics Processors 2004
SIGMOD
0.00010745803
1,466
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020
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0.0001068941
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Pipelined Query Processing in Coprocessor Environments 2018
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HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics 2016
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AIDA - Abstraction for Advanced In-Database Analytics 2018
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GPL: A GPU-based Pipelined Query Processing Engine 2016
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Why it is time for a HyPE: A Hybrid Query Processing Engine for Efficient GPU Coprocessing in DBMS 2013
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A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018
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