This research line focuses on multi-objective resource management of heterogeneous High Performance Computing (HPC) servers and datacenters through machine learning-based approaches.
Our research leverages system-level resource management techniques, such as Dynamic Voltage and Frequency Scaling (DVFS), task scheduling and allocation, and thread migration, to simultaneously satisfy different design- and run-time objectives and constraints including power/energy consumption, temperature, performance, and Quality-of-Service. |
| Is the powersave governor really saving power? |
| Huang, Darong; Costero Valero, Luis Maria; Atienza Alonso, David |
| 2024-02-12 | Conference Paper | |  |
| CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds |
| Huang, Darong; Costero Valero, Luis Maria; Pahlevan, Ali; Zapater Sancho, Marina; Atienza Alonso, David |
| 2024-01-23 | IEEE Transactions on Sustainable Computing | |  | |
| Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers |
| Huang, Darong; Pahlevan, Ali; Costero, Luis; Zapater Sancho, Marina; Atienza Alonso, David |
| 2022-03-07 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | | |  |  |
| Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning |
| Costero, Luis; Iranfar, Arman; Zapater Sancho, Marina; D. Igual, Francisco; Olcoz, Katzalin; Atienza Alonso, David |
| 2020 | IEEE Transactions on Parallel and Distributed Systems | | | |
| A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers |
| Iranfar, Arman; Silva De Souza, Wellington; Zapater Sancho, Marina; Olcoz, Katzalin; Xavier de Souza, Samuel; Atienza Alonso, David |
| 2019 | Conference Paper | | | |
| A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs |
| Iranfar, Arman; Simon, William Andrew; Zapater Sancho, Marina; Atienza Alonso, David |
| 2018 | Conference Paper | |  | |
| Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers |
| Iranfar, Arman; Zapater Sancho, Marina; Atienza Alonso, David |
| 2018 | Journal of IEEE Transactions on Parallel and Distributed Systems (TPDS) | | | |
