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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
5.7588588e-05
Overall Rank
6,516 | 56.20%
DOI
-

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 10 of 10 citing papers.

Rank Citing Paper Year Venue Pagerank
2,284 Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects 2020 SIGMOD 8.6954168e-05
3,626 Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects 2022 SIGMOD 7.1524537e-05
4,137 The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product 2021 VLDB 6.7861661e-05
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7927521e-05
6,489 HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics 2023 CIDR 5.7676507e-05
6,667 Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs 2025 VLDB 5.7152948e-05
6,878 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.657878e-05
9,185 One-shot Garbage Collection for In-memory OLTP through Temporality-aware Version Storage 2023 SIGMOD 5.2115023e-05
10,345 Data Movement-Aware GPU Sharing for Data-Intensive Systems 2026 CIDR 4.9793485e-05
10,905 ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs 2026 VLDB 4.9793485e-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 0.00034622929
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024598661
331 Column-Stores vs. Row-Stores: How Different Are They Really? 2008 SIGMOD 0.0002077683
389 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00019269777
762 Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS 2007 VLDB 0.00014140446
771 The Yin and Yang of Processing Data Warehousing Queries on GPU Devices 2013 VLDB 0.00014085862
1,241 BatchDB: Efficient Isolated Execution of Hybrid OLTP+OLAP Workloads for Interactive Applications 2017 SIGMOD 0.00011378254
1,259 Fast Checkpoint Recovery Algorithms for Frequently Consistent Applications 2011 SIGMOD 0.00011297239
1,473 Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware 2016 VLDB 0.00010557973
1,533 Pipelined Query Processing in Coprocessor Environments 2018 SIGMOD 0.00010332035
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
2,600 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2363864e-05
2,815 GPL: A GPU-based Pipelined Query Processing Engine 2016 SIGMOD 7.9777435e-05
3,773 Hardware-conscious Query Processing in GPU-accelerated Analytical Engines 2019 CIDR 7.0294475e-05
3,935 The Case For Heterogeneous HTAP 2017 CIDR 6.9166006e-05
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