Power-aware Deep Learning Model Serving with μ-Serve
- Haoran Qiu
- Weichao Mao
- et al.
- 2024
- USENIX ATC 2024
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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9 results for Weichao Mao
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- Weichao Mao
- Haoran Qiu
- et al.
- 2023
- NeurIPS 2023
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems
- Haoran Qiu
- Weichao Mao
- et al.
- 2023
- USENIX ATC 2023
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
- Haoran Qiu
- Weichao Mao
- et al.
- 2023
- NeurIPS 2023
O˜(T−1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games
- Weichao Mao
- Haoran Qiu
- et al.
- 2024
- L4DC 2024
Flash: Fast Model Adaptation in ML-Centric Cloud Platforms
- Haoran Qiu
- Weichao Mao
- et al.
- 2024
- MLSys 2024
When Green Computing Meets Performance and Resilience SLOs
- Haoran Qiu
- Weichao Mao
- et al.
- 2024
- DSN 2024
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction
- Haoran Qiu
- Weichao Mao
- et al.
- 2024
- ASPLOS 2024
O˜(T−1) Convergence to (Coarse) Correlated Equilibria in Full-Information General-Sum Markov Games
- Weichao Mao
- Haoran Qiu
- et al.
- 2024
- arXiv