Thaleia Dimitra Doudali

According to our database, Thaleia Dimitra Doudali authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems.

Christian Pinto, Dong Li, Thaleia Dimitra Doudali, Christina Giannoula, Jie Ren

CoRR, 2024

Do Predictors for Resource Overcommitment Even Predict?

Georgia Christofidi, Thaleia Dimitra Doudali

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

The Importance of Workload Choice in Evaluating LLM Inference Systems.

Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

Toward Pattern-based Model Selection for Cloud Resource Forecasting.

Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Is Machine Learning Necessary for Cloud Resource Usage Forecasting?

Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022

Cronus: Computer Vision-based Machine Intelligent Hybrid Memory Management.

Thaleia Dimitra Doudali, Ada Gavrilovska

Proceedings of the 2022 International Symposium on Memory Systems, 2022

Coeus: Clustering (A)like Patterns for Practical Machine Intelligent Hybrid Memory Management.

Thaleia Dimitra Doudali, Ada Gavrilovska

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

Adding Machine Intelligence to Hybrid Memory Management.

Thaleia Dimitra Doudali

PhD thesis, 2021

Tuning the Frequency of Periodic Data Movements over Hybrid Memory Systems.

Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska

CoRR, 2021

Toward Computer Vision-based Machine Intelligent Hybrid Memory Management.

Thaleia Dimitra Doudali, Ada Gavrilovska

Proceedings of the MEMSYS 2021: The International Symposium on Memory Systems, Washington, USA, September 27, 2021

Cori: Dancing to the Right Beat of Periodic Data Movements over Hybrid Memory Systems.

Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Machine Learning Augmented Hybrid Memory Management.

Thaleia Dimitra Doudali, Ada Gavrilovska

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020

Unexpected Performance of Intel® Optane™ DC Persistent Memory.

Tony Mason, Thaleia Dimitra Doudali, Margo I. Seltzer, Ada Gavrilovska

IEEE Comput. Archit. Lett., 2020

The Case for Optimizing the Frequency of Periodic Data Movements over Hybrid Memory Systems.

Thaleia Dimitra Doudali, Daniel Zahka, Ada Gavrilovska

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

2019

Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory Systems.

Thaleia Dimitra Doudali, Ada Gavrilovska

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence.

Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2017

CoMerge: toward efficient data placement in shared heterogeneous memory systems.

Thaleia Dimitra Doudali, Ada Gavrilovska

Proceedings of the International Symposium on Memory Systems, 2017

UNITY: Unified Memory and File Space.

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

Proceedings of the 7th International Workshop on Runtime and Operating Systems for Supercomputers, 2017

Spaten: A spatio-temporal and textual big data generator.

Thaleia Dimitra Doudali, Ioannis Konstantinou, Nectarios Koziris

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017