ML Training with Cloud GPU Shortages: Is Cross-Region the Answer?
Foteini Strati, Paul Elvinger, Tolga Kerimoglu, Ana Klimovic (ETH Zurich), In Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys 2024) (To appear)
Publications
DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
Foteini Strati, Sara Mcallister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic
Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications
Foteini Strati, Xianzhe Ma, Ana Klimovic, In Proceedings of the Nineteenth European Conference on Computer Systems (EuroSys 2024) (To appear)
Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets
Maximilian Böther, Foteini Strati, Viktor Gsteiger, and Ana Klimovic. 2023. Towards A Platform and Benchmark Suite for Model Training on Dynamic Datasets. In Proceedings of the 3rd Workshop on Machine Learning and Systems (EuroMLSys 2023).8–17.
Exploring learning rate scaling rules for distributed ML training on transient resources
Joel André*, Foteini Strati*, and Ana Klimovic. 2022. Exploring learning rate scaling rules for distributed ML training on transient resources. In Proceedings of the 3rd International Workshop on Distributed Machine Learning (DistributedML 2022). 1–8
An adaptive concurrent priority queue for numa architectures
Foteini Strati*, Christina Giannoula*, Dimitrios Siakavaras, Georgios Goumas, and Nectarios Koziris. 2019. An adaptive concurrent priority queue for NUMA architectures. In Proceedings of the 16th ACM International Conference on Computing Frontiers (CF 2019), 135–144.