Thaleia Dimitra Doudali

29 papers A 3B 1Journal 6Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aceso: Carbon-Aware and Cost-Effective Microservice Placement for Small and Medium-sized Enterprises. CoRR Georgia Christofidi, Francisco Álvarez-Terribas, Ioannis Roumpos, Nicolas Kourtellis, Jesus Omaña Iglesias, Thaleia Dimitra Doudali
2026	J	`jnl`	CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-tenant LLM Serving Systems. CoRR Panagiotis Georgios Pennas, Konstantinos Papaioannou, Marco Guarnieri, Thaleia Dimitra Doudali
2026	—	`conf`	Dealing with the Elephant in the KV Cache: Video Frame Sampling for Multimodal LLM Inference. EuroMLSys@EuroSys Konstantinos Papaioannou, Thaleia Dimitra Doudali
2026	J	`jnl`	Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference. CoRR Konstantinos Papaioannou, Thaleia Dimitra Doudali
2025	—	`ed.`	Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part I Euro-Par Workshops (1) Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth
2025	—	`ed.`	Euro-Par 2024: Parallel Processing Workshops - Euro-Par 2024 International Workshops, Madrid, Spain, August 26-30, 2024, Proceedings, Part II Euro-Par Workshops (2) Silvina Caíno-Lores, Demetris Zeinalipour, Thaleia Dimitra Doudali, David E. Singh, Gracia Ester Martín Garzón, Leonel Sousa, Diego Andrade, Tommaso Cucinotta, Donato D'Ambrosio, Patrick Diehl, Manuel F. Dolz, Admela Jukan, Raffaele Montella, Matteo Nardelli, Marta Garcia-Gasulla, Sarah Neuwirth
2025	—	`conf`	Lessons Learned from Five Years of Artifact Evaluations at EuroSys. ACM REP Daniele Cono D'Elia, Thaleia Dimitra Doudali, Cristiano Giuffrida, Miguel Matos, Mathias Payer, Solal Pirelli, Georgios Portokalidis, Valerio Schiavoni, Salvatore Signorello, Anjo Vahldiek-Oberwagner
2024	—	`conf`	Augmenting Cloud Resource Management with the Necessary Amount of Machine Intelligence. Euro-Par Workshops (2) Georgia Christofidi, Thaleia Dimitra Doudali
2024	—	`conf`	Do Predictors for Resource Overcommitment Even Predict? EuroMLSys@EuroSys Georgia Christofidi, Thaleia Dimitra Doudali
2024	—	`conf`	Improving the Efficiency of LLM Inference Serving Systems. Euro-Par Workshops (2) Konstantinos Papaioannou, Thaleia Dimitra Doudali
2024	J	`jnl`	Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems. CoRR Christian Pinto, Dong Li, Thaleia Dimitra Doudali, Christina Giannoula, Jie Ren
2024	—	`conf`	The Importance of Workload Choice in Evaluating LLM Inference Systems. EuroMLSys@EuroSys Konstantinos Papaioannou, Thaleia Dimitra Doudali
2023	—	`conf`	Is Machine Learning Necessary for Cloud Resource Usage Forecasting? SoCC Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali
2023	—	`conf`	Toward Pattern-based Model Selection for Cloud Resource Forecasting. EuroMLSys@EuroSys Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali
2022	B	`conf`	Coeus: Clustering (A)like Patterns for Practical Machine Intelligent Hybrid Memory Management. CCGRID Thaleia Dimitra Doudali, Ada Gavrilovska
2022	—	`conf`	Cronus: Computer Vision-based Machine Intelligent Hybrid Memory Management. MEMSYS Thaleia Dimitra Doudali, Ada Gavrilovska
2021	—	`—`	Adding Machine Intelligence to Hybrid Memory Management. Thaleia Dimitra Doudali
2021	A	`conf`	Cori: Dancing to the Right Beat of Periodic Data Movements over Hybrid Memory Systems. IPDPS Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska
2021	A	`conf`	Machine Learning Augmented Hybrid Memory Management. HPDC Thaleia Dimitra Doudali, Ada Gavrilovska
2021	—	`conf`	Toward Computer Vision-based Machine Intelligent Hybrid Memory Management. MEMSYS Thaleia Dimitra Doudali, Ada Gavrilovska
2021	J	`jnl`	Tuning the Frequency of Periodic Data Movements over Hybrid Memory Systems. CoRR Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska
2020	—	`conf`	The Case for Optimizing the Frequency of Periodic Data Movements over Hybrid Memory Systems. MEMSYS Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska
2020	J	`jnl`	Unexpected Performance of Intel® Optane™ DC Persistent Memory. IEEE Comput. Archit. Lett. Tony Mason, Thaleia Dimitra Doudali, Margo I. Seltzer, Ada Gavrilovska
2019	A	`conf`	Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence. HPDC Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska
2019	—	`conf`	Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems. IPDPS Workshops Thaleia Dimitra Doudali, Ada Gavrilovska
2018	—	`conf`	Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems. SoCC Thaleia Dimitra Doudali, Ada Gavrilovska
2017	—	`conf`	CoMerge: toward efficient data placement in shared heterogeneous memory systems. MEMSYS Thaleia Dimitra Doudali, Ada Gavrilovska
2017	—	`conf`	Spaten: A spatio-temporal and textual big data generator. IEEE BigData Thaleia Dimitra Doudali, Ioannis Konstantinou, Nectarios Koziris
2017	—	`conf`	UNITY: Unified Memory and File Space. ROSS@HPDC Terry R. Jones, Michael J. Brim, Geoffroy Vallée, Benjamin Mayer, Aaron Welch, Tonglin Li, Michael Lang, Latchesar Ionkov, Douglas Otstott, Ada Gavrilovska, Greg Eisenhauer, Thaleia Dimitra Doudali, Pradeep Fernando