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GPU-accelerated data management under the test of time

Summary: Empirical analysis showing PCIe interconnects—rather than GPU compute—dominate performance limits for GPU-accelerated DBMS and weaken benefits of late materialization and data-sharing across evolving interconnects, architectures, and workloads. Proposes a hybrid eager/lazy materialization, aggressive data-sharing, and an HTAP system design that removes software-level interference, demonstrating recovered throughput and memory-bus–friendly OLAP-style transfer optimizations. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h7da7e1765144b1e2
Venue
CIDR
Year
2020
Pagerank
5.7858902e-05
Overall Rank
6,393 | 57.15%
DOI
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PDF
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Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{raza_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{GPU-accelerated data management under the test of time}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Raza, Aunn and Chrysogelos, Periklis and Anadiotis, Angelos Christos and Sioulas, Panagiotis and Indjic, Vladimir and Ailamaki, Anastasia},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
2,294 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.67775e-05
3,622 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1350619e-05
4,063 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.812902e-05
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7763032e-05
6,499 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 5.7482323e-05
6,685 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.6936999e-05
6,902 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6365602e-05
9,212 One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage 2023 SIGMOD 5.1928088e-05
10,400 HeraDB: Towards Real-time Analysis of Transaction-Centric HTAP with CPU-GPU Hybrid Query Execution 2027 SIGMOD 4.9605343e-05
10,424 Data Movement-Aware GPU Sharing for Data-Intensive Systems 2026 CIDR 4.9605343e-05
10,975 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
93 Encapsulation of Parallelism in the Volcano Query Processing System 1990 SIGMOD 0.00034518001
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024554257
332 Column-Stores vs. Row-Stores: How Different Are They Really? 2008 SIGMOD 0.00020739447
390 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00019232929
748 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014258503
768 Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS 2007 VLDB 0.00014096379
1,232 BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications 2017 SIGMOD 0.00011406847
1,263 Fast Checkpoint Recovery Algorithms for Frequently Consistent Applications 2011 SIGMOD 0.00011270111
1,475 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010525713
1,530 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010318943
1,748 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7176232e-05
2,606 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2118469e-05
2,808 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.962315e-05
3,775 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0079979e-05
3,869 The Case For Heterogeneous HTAP 2017 CIDR 6.9434054e-05
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