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Data Movement-Aware GPU Sharing for Data-Intensive Systems
Summary: Introduces GUST, a GPU scheduler that treats PCIe as a first-class schedulable resource and classifies kernels as transfer- or device-intensive to interleave analytics (PCIe-heavy) and inference (compute-heavy) workloads. Prototype colocating four mixed workloads reduces performance degradation vs dedicated GPUs from 3.9–7x to 2.8x.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 573
- Venue
- CIDR
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 9,970 | 30.71%
- DOI
-
-
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
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Year |
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| 2,013 |
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2025 |
CIDR |
9.7986166e-05 |
| 2,044 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.6963999e-05 |
| 2,659 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
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8.3615158e-05 |
| 3,189 |
Text2SQL is Not Enough: Unifying AI and Databases with TAG |
2025 |
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7.4140094e-05 |
| 4,700 |
Tensors: An abstraction for general data processing |
2021 |
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5.9810592e-05 |
| 5,826 |
Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration |
2016 |
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5.3116062e-05 |
| 6,451 |
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5.0522576e-05 |
| 7,209 |
GPU-accelerated data management under the test of time |
2020 |
CIDR |
4.7949787e-05 |
| 7,570 |
Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs |
2025 |
VLDB |
4.7039167e-05 |
| 7,917 |
Terabyte-Scale Analytics in the Blink of an Eye |
2026 |
VLDB |
4.6129625e-05 |
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