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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.

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

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.

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)

DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving

Foteini Strati, Sara Mcallister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic, In Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

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)

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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