Spaten: A spatio-temporal and textual big data generator. - Thaleia Dimitra Doudali; Ioannis Konstantinou; Nectarios Koziris (IEEE BigData, 2017)

UNITY: Unified Memory and File Space. - Terry R. Jones; Michael J. Brim; Geoffroy Vallée; Benjamin Mayer; Aaron Welch; Tonglin Li; Michael Lang 003; Latchesar Ionkov; Douglas Otstott; Ada Gavrilovska; Greg Eisenhauer; Thaleia Dimitra Doudali; et al. (ROSS@HPDC, 2017)

CoMerge: toward efficient data placement in shared heterogeneous memory systems. - Thaleia Dimitra Doudali; Ada Gavrilovska (MEMSYS, 2017)

Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence. - Thaleia Dimitra Doudali; Sergey Blagodurov; Abhinav Vishnu; Sudhanva Gurumurthi; Ada Gavrilovska (HPDC, 2019)

Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems. - Thaleia Dimitra Doudali; Ada Gavrilovska (IPDPS Workshops, 2019)

The Case for Optimizing the Frequency of Periodic Data Movements over Hybrid Memory Systems. - Thaleia Dimitra Doudali; Daniel Zahka; Ada Gavrilovska (MEMSYS, 2020)

Unexpected Performance of Intel® Optane™ DC Persistent Memory. - Tony Mason; Thaleia Dimitra Doudali; Margo I. Seltzer; Ada Gavrilovska (IEEE Comput. Archit. Lett., 2020)

Machine Learning Augmented Hybrid Memory Management. - Thaleia Dimitra Doudali; Ada Gavrilovska (HPDC, 2021)

Cori: Dancing to the Right Beat of Periodic Data Movements over Hybrid Memory Systems. - Thaleia Dimitra Doudali; Daniel Zahka; Ada Gavrilovska (IPDPS, 2021)

Toward Computer Vision-based Machine Intelligent Hybrid Memory Management. - Thaleia Dimitra Doudali; Ada Gavrilovska (MEMSYS, 2021)

Tuning the Frequency of Periodic Data Movements over Hybrid Memory Systems. - Thaleia Dimitra Doudali; Daniel Zahka; Ada Gavrilovska (CoRR, 2021)

Adding Machine Intelligence to Hybrid Memory Management. - Thaleia Dimitra Doudali (2021)

Coeus: Clustering (A)like Patterns for Practical Machine Intelligent Hybrid Memory Management. - Thaleia Dimitra Doudali; Ada Gavrilovska (CCGRID, 2022)

Cronus: Computer Vision-based Machine Intelligent Hybrid Memory Management. - Thaleia Dimitra Doudali; Ada Gavrilovska (MEMSYS, 2022)

Is Machine Learning Necessary for Cloud Resource Usage Forecasting? - Georgia Christofidi; Konstantinos Papaioannou 002; Thaleia Dimitra Doudali (SoCC, 2023)

Toward Pattern-based Model Selection for Cloud Resource Forecasting. - Georgia Christofidi; Konstantinos Papaioannou 002; Thaleia Dimitra Doudali (EuroMLSys@EuroSys, 2023)

The Importance of Workload Choice in Evaluating LLM Inference Systems. - Konstantinos Papaioannou 002; Thaleia Dimitra Doudali (EuroMLSys@EuroSys, 2024)

Do Predictors for Resource Overcommitment Even Predict? - Georgia Christofidi; Thaleia Dimitra Doudali (EuroMLSys@EuroSys, 2024)

Augmenting Cloud Resource Management with the Necessary Amount of Machine Intelligence. - Georgia Christofidi; Thaleia Dimitra Doudali (Euro-Par Workshops (2), 2024)

Improving the Efficiency of LLM Inference Serving Systems. - Konstantinos Papaioannou 002; Thaleia Dimitra Doudali (Euro-Par Workshops (2), 2024)

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems. - Christian Pinto; Dong Li; Thaleia Dimitra Doudali; Christina Giannoula; Jie Ren (CoRR, 2024)