SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments
Summary: SmartLite is a lightweight DBMS that stores DNN parameters/structure as tables and implements neural operators, turning tensor ops into DB value-lookups. Uses binarized quantization and pruning to run multiple models on constrained edge devices, achieving 98% memory reduction and ~134% speedup vs TorchServe. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@article{lin_vldb24,
title = {{SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments}},
author = {Lin, Qiuru and Wu, Sai and Zhao, Junbo and Dai, Jian and Shi, Meng and Chen, Gang and Li, Feifei},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {3},
pages = {278--291},
doi = {10.14778/3632093.3632095},
url = {https://doi.org/10.14778/3632093.3632095},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,742 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.6910432e-05 |
| 9,071 | Privacy and Accuracy-Aware AI/ML Model Deduplication | 2025 | SIGMOD | 5.2283159e-05 |
| 9,724 | Database as Runtime: Compiling LLMs to SQL for In-database Model Serving | 2025 | SIGMOD | 5.1349531e-05 |
| 10,446 | Eliminating Redundant Feature Tests in Decision Tree and Random Forest Inference on SQL Predicates | 2026 | SIGMOD | 4.9793485e-05 |
| 10,448 | EncoderForge: Generating Efficient SQL for Encoders in Machine Learning Inference Pipelines | 2026 | SIGMOD | 4.9793485e-05 |
| 10,653 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 4.9793485e-05 |
| 10,932 | IMLane: Composable Framework for Efficient AI Function Execution in Database Engine | 2026 | VLDB | 4.9793485e-05 |
| 11,176 | Alsatian: Optimizing Model Search for Deep Transfer Learning | 2025 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 105 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00033638251 |
| 873 | BitWeaving: Fast Scans for Main Memory Data Processing | 2013 | SIGMOD | 0.00013338838 |
| 2,386 | Vertica-ML: Distributed Machine Learning in Vertica Database | 2020 | SIGMOD | 8.538263e-05 |
| 2,830 | DB4ML – An In-Memory Database Kernel with Machine Learning Support | 2020 | SIGMOD | 7.9619979e-05 |
| 3,969 | Optimizing Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 6.8899861e-05 |
| 5,634 | LMFAO: An Engine for Batches of Group-By Aggregates | 2020 | VLDB | 6.0577899e-05 |
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