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Semantic ScholarArman Iranfar
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2010 – today
- 2019
[c9]Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza:
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. DATE 2019: 66-71- [c8]Luis Costero
, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza:
MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. DATE 2019: 558-563 - 2018
- [j3]José Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Carlo Brandolese, Etienne Cappe, Alessandro Cilardo, Leon Dragic, Alexandre Dray, Alen Duspara, William Fornaciari, Edoardo Fusella, Mirko Gagliardi, Gerald Guillaume, Daniel Hofman, Ynse Hoornenborg, Arman Iranfar, Mario Kovac, Davide Zoni:
Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocessors and Microsystems - Embedded Hardware Design 61: 154-170 (2018) - [j2]Arman Iranfar, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, David Atienza:
TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip. IEEE Trans. on CAD of Integrated Circuits and Systems 37(8): 1532-1545 (2018) - [j1]Arman Iranfar, Marina Zapater, David Atienza:
Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers. IEEE Trans. Parallel Distrib. Syst. 29(10): 2268-2281 (2018) - [c7]Arman Iranfar, Ali Pahlevan, Marina Zapater, Martin Zagar, Mario Kovac, David Atienza:
Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation. DATE 2018: 949-954 - [c6]Arman Iranfar, William Andrew Simon, Marina Zapater, David Atienza:
A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs. ISCAS 2018: 1-5 - 2017
- [c5]Arman Iranfar, Marina Zapater, David Atienza:
A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress. CODES+ISSS 2017: 14:1-14:2 - [c4]Jose Flich, Giovanni Agosta, Philipp Ampletzer, David Atienza Alonso, Carlo Brandolese, Etienne Cappe, Alessandro Cilardo, Leon Dragic, Alexandre Dray, Alen Duspara, William Fornaciari, Gerald Guillaume, Ynse Hoornenborg, Arman Iranfar, Mario Kovac, Simone Libutti, Bruno Maitre, José Maria Martínez, Giuseppe Massari, Hrvoje Mlinaric, Ermis Papastefanakis, Tomás Picornell, Igor Piljic, Anna Pupykina, Federico Reghenzani, Isabelle Staub, Rafael Tornero, Marina Zapater, Davide Zoni:
MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems. DSD 2017: 478-485 - [c3]Arman Iranfar, Federico Terraneo, William Andrew Simon, Leon Dragic, Igor Piljic, Marina Zapater, William Fornaciari, Mario Kovac, David Atienza:
Thermal characterization of next-generation workloads on heterogeneous MPSoCs. SAMOS 2017: 286-291 - 2015
- [c2]Mehdi Kamal, Arman Iranfar, Ali Afzali-Kusha, Massoud Pedram:
A thermal stress-aware algorithm for power and temperature management of MPSoCs. DATE 2015: 954-959 - [c1]Arman Iranfar, Soheil Nazar Shahsavani, Mehdi Kamal, Ali Afzali-Kusha:
A heuristic machine learning-based algorithm for power and thermal management of heterogeneous MPSoCs. ISLPED 2015: 291-296
Coauthor Index
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