llm-db

Resource Multiplexing in Tuning and Serving Large Language Models (USENIX ATC 2025)

MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage (ICDE 2025 Industry Track)

Tensor Program Optimization with Auto-Batching (Master Thesis, ETH Zürich, 2025)

Understanding GPU Architecture Implications on LLM Serving Workloads (Master Thesis, ETH Zürich, 2024)

Deferred Continuous Batching in Resource-Efficient Large Language Model Serving (EuroMLSys 2024)