Arman Iranfar

20 papers A 6C 4Misc 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
Towards the Certification of AI-based Systems.
SDS
Philipp Denzel, Stefan Brunner, Yann Billeter, Oliver Forster, Carmen Frischknecht-Gruber, Monika Reif, Frank-Peter Schilling, Joanna Weng, Ricardo Chavarriaga, Amin Amini, Marco Repetto, Arman Iranfar
2022 J jnl
Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Arman Iranfar, Marina Zapater, David Atienza
2021 — conf
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals
EMBC
Arman Iranfar, Adriana Arza, David Atienza
2021 J jnl
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals.
CoRR
Arman Iranfar, Adriana Arza, David Atienza
2020 A conf
Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning.
DATE
Arman Iranfar, Federico Terraneo, Gabor Csordas, Marina Zapater, William Fornaciari, David Atienza
2020 J jnl
Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst.
Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
2019 C conf
A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers.
VLSI-SoC
Arman Iranfar, Wellington Silva de Souza, Marina Zapater, Katzalin Olcoz, Samuel Xavier de Souza, David Atienza
2019 C conf
A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers.
VLSI-SoC
Wellington Silva de Souza, Arman Iranfar, Anderson B. N. da Silva, Marina Zapater, Samuel Xavier de Souza, Katzalin Olcoz, David Atienza
2019 A conf
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers.
DATE
Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza
2019 A conf
MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding.
DATE
Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza
2018 C conf
A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs.
ISCAS
Arman Iranfar, William Andrew Simon, Marina Zapater, David Atienza
2018 J jnl
Exploring manycore architectures for next-generation HPC systems through the MANGO approach.
Microprocess. Microsystems
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
2018 J jnl
Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers.
IEEE Trans. Parallel Distributed Syst.
Arman Iranfar, Marina Zapater, David Atienza
2018 A conf
Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation.
DATE
Arman Iranfar, Ali Pahlevan, Marina Zapater, Martin Zagar, Mario Kovac, David Atienza
2018 J jnl
TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Arman Iranfar, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, David Atienza
2017 Misc conf
A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress.
CODES+ISSS
Arman Iranfar, Marina Zapater, David Atienza
2017 C conf
MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems.
DSD
José 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
2017 — conf
Thermal characterization of next-generation workloads on heterogeneous MPSoCs.
SAMOS
Arman Iranfar, Federico Terraneo, William Andrew Simon, Leon Dragic, Igor Piljic, Marina Zapater, William Fornaciari, Mario Kovac, David Atienza
2015 A conf
A heuristic machine learning-based algorithm for power and thermal management of heterogeneous MPSoCs.
ISLPED
Arman Iranfar, Soheil Nazar Shahsavani, Mehdi Kamal, Ali Afzali-Kusha
2015 A conf
A thermal stress-aware algorithm for power and temperature management of MPSoCs.
DATE
Mehdi Kamal, Arman Iranfar, Ali Afzali-Kusha, Massoud Pedram