| Thespot: Thermal stress-aware power and temperature management for multiprocessor systems-on-chip A Iranfar, M Kamal, A Afzali-Kusha, M Pedram, D Atienza IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 43 | 2017 |
| A heuristic machine learning-based algorithm for power and thermal management of heterogeneous MPSoCs A Iranfar, SN Shahsavani, M Kamal, A Afzali-Kusha 2015 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2015 | 36 | 2015 |
| MANGO: exploring manycore architectures for next-generation HPC systems J Flich, G Agosta, P Ampletzer, DA Alonso, C Brandolese, E Cappe, ... 2017 Euromicro Conference on Digital System Design (DSD), 478-485, 2017 | 29 | 2017 |
| MAMUT: multi-agent reinforcement learning for efficient real-time multi-user video transcoding L Costero, A Iranfar, M Zapater, FD Igual, K Olcoz, D Atienza 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 558-563, 2019 | 25 | 2019 |
| Exploring manycore architectures for next-generation HPC systems through the MANGO approach J Flich, G Agosta, P Ampletzer, DA Alonso, C Brandolese, E Cappe, ... Microprocessors and Microsystems 61, 154-170, 2018 | 24 | 2018 |
| Dynamic thermal management with proactive fan speed control through reinforcement learning A Iranfar, F Terraneo, G Csordas, M Zapater, W Fornaciari, D Atienza 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 418-423, 2020 | 23 | 2020 |
| Multiagent reinforcement learning for hyperparameter optimization of convolutional neural networks A Iranfar, M Zapater, D Atienza IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 22 | 2021 |
| Machine learning-based quality-aware power and thermal management of multistream HEVC encoding on multicore servers A Iranfar, M Zapater, D Atienza IEEE Transactions on Parallel and Distributed Systems 29 (10), 2268-2281, 2018 | 21 | 2018 |
| Design of a two-phase gravity-driven micro-scale thermosyphon cooling system for high-performance computing data centers A Seuret, A Iranfar, M Zapater, J Thome, D Atienza 2018 17th IEEE Intersociety Conference on Thermal and Thermomechanical …, 2018 | 17 | 2018 |
| Resource management for power-constrained HEVC transcoding using reinforcement learning L Costero, A Iranfar, M Zapater, FD Igual, K Olcoz, D Atienza IEEE Transactions on Parallel and Distributed Systems 31 (12), 2834-2850, 2020 | 16 | 2020 |
| Thermal characterization of next-generation workloads on heterogeneous MPSoCs A Iranfar, F Terraneo, WA Simon, L Dragić, I Piljić, M Zapater, ... 2017 International Conference on Embedded Computer Systems: Architectures …, 2017 | 16 | 2017 |
| A thermal stress-aware algorithm for power and temperature management of MPSoCs M Kamal, A Iranfar, A Afzali-Kusha, M Pedram 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 954-959, 2015 | 15 | 2015 |
| ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals* A Iranfar, A Arza, D Atienza 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 13 | 2021 |
| A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress A Iranfar, M Zapater, D Atienza Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on …, 2017 | 13 | 2017 |
| Containergy—a container-based energy and performance profiling tool for next generation workloads W Silva-de-Souza, A Iranfar, A Bráulio, M Zapater, S Xavier-de-Souza, ... Energies 13 (9), 2162, 2020 | 12 | 2020 |
| Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation A Iranfar, A Pahlevan, M Zapater, M Žagar, M Kovač, D Atienza 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 949-954, 2018 | 9 | 2018 |
| A machine learning-based framework for throughput estimation of time-varying applications in multi-core servers A Iranfar, WS De Souza, M Zapater, K Olcoz, SX de Souza, D Atienza 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration …, 2019 | 7 | 2019 |
| Enhancing two-phase cooling efficiency through thermal-aware workload mapping for power-hungry servers A Iranfar, A Pahlevan, M Zapater, D Atienza 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 66-71, 2019 | 5 | 2019 |
| A machine learning-based strategy for efficient resource management of video encoding on heterogeneous MPSoCs A Iranfar, WA Simon, M Zapater, D Atienza 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 5 | 2018 |
| Towards the Certification of AI-based Systems P Denzel, S Brunner, Y Billeter, O Forster, C Frischknecht-Gruber, M Reif, ... 2024 11th IEEE Swiss Conference on Data Science (SDS), 84-91, 2024 | 1 | 2024 |
David AtienzaProfessor of Electrical and Computer Engineering, EPFLВерификована је имејл адреса на epfl.ch