LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services
- Gosia Lazuka
- Andreea Simona Anghel
- et al.
- 2024
- SC 2024
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29 results for Andreea Anghel
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
- Erik Altman
- Jovan Blanusa
- et al.
- 2023
- NeurIPS 2023
Search-based Methods for Multi-Cloud Configuration
- Malgorzata Lazuka
- Thomas Parnell
- et al.
- 2022
- CLOUD 2022
SnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
xCloudServing: Automated and Optimized ML Serving across Clouds
- Gosia Lazuka
- Andreea Simona Anghel
- et al.
- 2023
- CLOUD 2023
xCloudServing: Automated ML Serving Across Clouds
- Malgorzata Lazuka
- Andreea Anghel
- et al.
- 2023
- CLOUD 2023
SNaP ML: A hierarchical framework for machine learning
- Celestine Mendler-Dünner
- Thomas Parnell
- et al.
- 2018
- NeurIPS 2018
Breadth-first, Depth-next Training of Random Forests
- Andreea Simona Anghel
- Nikolas Ioannou
- et al.
- 2019
- NeurIPS 2019
Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms
- 2018
- NeurIPS 2018
Analytic Multi-Core Processor Model for Fast Design-Space Exploration
- Rik Jongerius
- Andreea Anghel
- et al.
- 2018
- IEEE TC