| 329 |
Accelerating Machine Learning Inference with Probabilistic Predicates |
2018 |
SIGMOD |
0.00027249545 |
| 1,160 |
Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks |
2022 |
VLDB |
0.00013586221 |
| 1,504 |
Analyzing and Mitigating Data Stalls in DNN Training |
2021 |
VLDB |
0.00011642333 |
| 2,177 |
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning |
2021 |
VLDB |
9.359876e-05 |
| 2,422 |
DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU |
2023 |
SIGMOD |
8.8499665e-05 |
| 2,677 |
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework |
2022 |
VLDB |
8.3268401e-05 |
| 3,293 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
7.2629834e-05 |
| 3,473 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.062864e-05 |
| 3,698 |
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines |
2022 |
SIGMOD |
6.8340435e-05 |
| 3,709 |
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank |
2023 |
VLDB |
6.8242482e-05 |
| 4,047 |
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees |
2023 |
SIGMOD |
6.4972105e-05 |
| 4,180 |
FastFlow: Accelerating Deep Learning Model Training with Smart Offloading of Input Data Pipeline |
2023 |
VLDB |
6.3793352e-05 |
| 5,052 |
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training |
2022 |
SIGMOD |
5.7337977e-05 |
| 5,072 |
Optimizing Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
5.7185674e-05 |
| 5,212 |
Self-Tuning Query Scheduling for Analytical Workloads |
2021 |
SIGMOD |
5.6262923e-05 |
| 5,333 |
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce |
2021 |
SIGMOD |
5.5656575e-05 |
| 5,475 |
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs |
2024 |
VLDB |
5.4869706e-05 |
| 6,357 |
PQCache: Product Quantization-based KVCache for Long Context LLM Inference |
2025 |
SIGMOD |
5.0970739e-05 |
| 6,377 |
Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism |
2023 |
VLDB |
5.0911095e-05 |
| 6,485 |
EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs |
2023 |
SIGMOD |
5.0453531e-05 |
| 7,014 |
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement |
2024 |
SIGMOD |
4.8616315e-05 |
| 7,152 |
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity |
2024 |
VLDB |
4.8154191e-05 |
| 7,289 |
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning |
2024 |
VLDB |
4.7747168e-05 |
| 7,388 |
Distribution-Based Query Scheduling |
2013 |
VLDB |
4.7437725e-05 |
| 7,583 |
Transaction Scheduling: From Conflicts to Runtime Conflicts |
2023 |
SIGMOD |
4.7042034e-05 |
| 7,696 |
Towards Optimal Transaction Scheduling |
2024 |
VLDB |
4.6754222e-05 |
| 8,080 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
4.5911668e-05 |
| 8,126 |
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training |
2023 |
VLDB |
4.5796615e-05 |
| 9,381 |
MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores |
2023 |
SIGMOD |
4.3459591e-05 |
| 9,705 |
ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse |
2022 |
VLDB |
4.2994163e-05 |
| 9,804 |
Capsule*: An Out-of-Core Training Mechanism for Colossal GNNs |
2025 |
SIGMOD |
4.2805224e-05 |
| 9,805 |
MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training |
2025 |
SIGMOD |
4.2805224e-05 |
| 9,806 |
The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format |
2024 |
SIGMOD |
4.2805224e-05 |
| 9,807 |
Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models |
2022 |
VLDB |
4.2805224e-05 |
| 13,150 |
STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically |
2024 |
SIGMOD |
- |