Kleio: A hybrid memory page scheduler with machine intelligence TD Doudali, S Blagodurov, A Vishnu, S Gurumurthi, A Gavrilovska Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019 | 76 | 2019 |
Unexpected performance of Intel® Optane™ DC persistent memory T Mason, TD Doudali, M Seltzer, A Gavrilovska IEEE Computer Architecture Letters 19 (1), 55-58, 2020 | 33 | 2020 |
Cori: Dancing to the right beat of periodic data movements over hybrid memory systems TD Doudali, D Zahka, A Gavrilovska 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 27 | 2021 |
Spaten: A spatio-temporal and textual big data generator TD Doudali, I Konstantinou, N Koziris 2017 IEEE international conference on big data (Big Data), 3416-3421, 2017 | 23 | 2017 |
Comerge: Toward efficient data placement in shared heterogeneous memory systems TD Doudali, A Gavrilovska Proceedings of the International Symposium on Memory Systems, 251-261, 2017 | 22 | 2017 |
Unity: unified memory and file space T Jones, MJ Brim, G Vallee, B Mayer, A Welch, T Li, M Lang, L Ionkov, ... Proceedings of the 7th International Workshop on Runtime and Operating …, 2017 | 14 | 2017 |
Mnemo: Boosting memory cost efficiency in hybrid memory systems TD Doudali, A Gavrilovska 2019 IEEE International Parallel and Distributed Processing Symposium …, 2019 | 10 | 2019 |
Coeus: Clustering (a) like patterns for practical machine intelligent hybrid memory management TD Doudali, A Gavrilovska 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022 | 8 | 2022 |
Is Machine Learning Necessary for Cloud Resource Usage Forecasting? G Christofidi, K Papaioannou, TD Doudali Proceedings of the 2023 ACM Symposium on Cloud Computing, 544-554, 2023 | 6 | 2023 |
The case for optimizing the frequency of periodic data movements over hybrid memory systems TD Doudali, D Zahka, A Gavrilovska Proceedings of the International Symposium on Memory Systems, 137-143, 2020 | 5 | 2020 |
Toward Pattern-based Model Selection for Cloud Resource Forecasting G Christofidi, K Papaioannou, TD Doudali Proceedings of the 3rd Workshop on Machine Learning and Systems, 115-122, 2023 | 3 | 2023 |
Toward Computer Vision-based Machine Intelligent Hybrid Memory Management TD Doudali, A Gavrilovska Proceedings of the International Symposium on Memory Systems, 1-6, 2021 | 3 | 2021 |
Computer resource scheduling using generative adversarial networks S Blagodurov, A Vishnu, TD Doudali, JB Kotra US Patent App. 16/425,878, 2020 | 3 | 2020 |
Multi-instance recurrent neural network prediction S Blagodurov, TD Doudali, AF Farahani US Patent App. 16/220,462, 2020 | 3 | 2020 |
Tuning the frequency of periodic data movements over hybrid memory systems TD Doudali, D Zahka, A Gavrilovska arXiv preprint arXiv:2101.07200, 2021 | 2 | 2021 |
Do Predictors for Resource Overcommitment Even Predict? G Christofidi, TD Doudali Proceedings of the 4th Workshop on Machine Learning and Systems, 153-160, 2024 | 1 | 2024 |
The Importance of Workload Choice in Evaluating LLM Inference Systems K Papaioannou, TD Doudali Proceedings of the 4th Workshop on Machine Learning and Systems, 39-46, 2024 | 1 | 2024 |
A picture is worth a thousand… features! using computer vision alongside machine learning in computer systems TD Doudali Wild and Crazy Ideas, ASPLOS 2022, 1-2, 2022 | 1 | 2022 |
Adding Machine Intelligence to Hybrid Memory Management TD Doudali Work 1, 16, 2021 | 1 | 2021 |
Toward Using Representation Learning for Cloud Resource Usage Forecasting RM Ghorab, TD Doudali Proceedings of the 2024 Workshop on AI For Systems, 13-19, 2024 | | 2024 |