Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics

Summary: Vortex enables GPU analytics beyond device memory by aggregating PCIe bandwidth across multi-GPU systems, routing data through idle GPUs. Its decoupled kernel/IO programming model and zero-copy late materialization deliver 5.7× over Proteus without GPU caching. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: hf6036ac4fc149cc0
Venue: VLDB
Year: 2025
Pagerank: 6.0873423e-05
Overall Rank: 5,543 | 62.75%
DOI: 10.14778/3717755.3717780
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Yichao Yuan (University of Michigan)
2. Advait Iyer (University of Michigan)
3. Lin Ma (University of Michigan)
4. Nishil Talati (University of Michigan)

BibTeX Citation

@article{yuan_vldb25,
        title = {{Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics}},
        author = {Yuan, Yichao and Iyer, Advait and Ma, Lin and Talati, Nishil},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {4},
        pages = {1250--1263},
        doi = {10.14778/3717755.3717780},
        url = {https://doi.org/10.14778/3717755.3717780},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,991	Terabyte-Scale Analytics in the Blink of an Eye	2026	VLDB	5.9219616e-05
6,671	Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs	2025	VLDB	5.7125893e-05
9,055	Rethinking Analytical Processing in the GPU Era	2026	CIDR	5.2283545e-05
9,870	GPU Acceleration of SQL Analytics on Compressed Data	2026	VLDB	5.115241e-05
10,357	Data Movement-Aware GPU Sharing for Data-Intensive Systems	2026	CIDR	4.9769913e-05
10,733	Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization	2026	VLDB	4.9769913e-05
10,795	MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures	2026	VLDB	4.9769913e-05
10,914	ZipFlow: a Compiler-based Framework to Unleash Compressed Data Movement for Modern GPUs	2026	VLDB	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
27	Database Architecture Optimized for the New Bottleneck: Memory Access	1999	VLDB	0.00051576613
775	The Yin and Yang of Processing Data Warehousing Queries on GPU Devices	2013	VLDB	0.0001407924
857	Hardware-Oblivious Parallelism for In-Memory Column-Stores	2013	VLDB	0.00013422539
1,269	A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics	2020	SIGMOD	0.00011254742
1,534	Pipelined Query Processing in Coprocessor Environments	2018	SIGMOD	0.00010327147
1,748	HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines	2019	VLDB	9.7289385e-05
2,287	Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects	2020	SIGMOD	8.691301e-05
2,460	Query Processing on Tensor Computation Runtimes	2022	VLDB	8.4308406e-05
2,466	Concurrent Analytical Query Processing with GPUs	2014	VLDB	8.4182778e-05
2,592	Text2SQL is Not Enough: Unifying AI and Databases with TAG	2025	CIDR	8.243678e-05
2,732	Efficient Execution of Joins in a Star Schema	2002	SIGMOD	8.0785175e-05
2,887	Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment	2021	VLDB	7.9044174e-05
3,055	MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures	2021	SIGMOD	7.6983202e-05
3,628	Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects	2022	SIGMOD	7.1490678e-05
3,888	Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS	2022	VLDB	6.942437e-05
3,974	TCUDB: Accelerating Database with Tensor Processors	2022	SIGMOD	6.8848857e-05
4,065	PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort	2015	VLDB	6.8199976e-05
4,200	Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources	2017	VLDB	6.7378729e-05
4,484	GPU Database Systems Characterization and Optimization	2024	VLDB	6.5776765e-05
5,135	Ocelot/HyPE: Optimized Data Processing on Heterogeneous Hardware	2014	VLDB	6.2568126e-05
5,161	Are You Sure You Want to Use MMAP in Your Database Management System?	2022	CIDR	6.2452792e-05
6,417	Evaluating Multi-GPU Sorting with Modern Interconnects	2022	SIGMOD	5.7900099e-05
7,190	GPUQP: Query Co-Processing Using Graphics Processors	2007	SIGMOD	5.5881603e-05

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#	Overall Rank	Paper	Year	Venue
1	4,237	Accelerating Dynamic Graph Analytics on GPUs	2018	VLDB
2	9,055	Rethinking Analytical Processing in the GPU Era	2026	CIDR
3	1,542	HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics	2016	VLDB
4	9,738	Vortex: A Stream-oriented Storage Engine For Big Data Analytics	2024	SIGMOD
5	9,870	GPU Acceleration of SQL Analytics on Compressed Data	2026	VLDB
6	4,484	GPU Database Systems Characterization and Optimization	2024	VLDB
7	6,518	GPU-accelerated data management under the test of time	2020	CIDR
8	2,287	Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects	2020	SIGMOD
9	2,466	Concurrent Analytical Query Processing with GPUs	2014	VLDB
10	8,280	Scaling GPU-Accelerated Databases beyond GPU Memory Size	2025	VLDB