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
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,377 | Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine | 2025 | SIGMOD | 5.0860948e-05 |
| 9,397 | Database as Runtime: Compiling LLMs to SQL for In-database Model Serving | 2025 | SIGMOD | 4.3399748e-05 |
| 10,177 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 4.1905499e-05 |
| 10,479 | Alsatian: Optimizing Model Search for Deep Transfer Learning | 2025 | SIGMOD | 4.1905499e-05 |
| 10,508 | Privacy and Accuracy-Aware AI/ML Model Deduplication | 2025 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 139 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00042320525 |
| 1,267 | BitWeaving: Fast Scans for Main Memory Data Processing | 2013 | SIGMOD | 0.00012917585 |
| 2,660 | Vertica-ML: Distributed Machine Learning in Vertica Database | 2020 | SIGMOD | 8.3614044e-05 |
| 3,122 | DB4ML – An In-Memory Database Kernel with Machine Learning Support | 2020 | SIGMOD | 7.5284233e-05 |
| 5,062 | Optimizing Machine Learning Inference Queries with Correlative Proxy Models | 2022 | VLDB | 5.7172262e-05 |
| 5,957 | LMFAO: An Engine for Batches of Group-By Aggregates | 2020 | VLDB | 5.2523266e-05 |
Previous
Page 1 / 1
Next