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ORCIDMarina Zapater
- > Home > Persons > Marina Zapater
Publications
- 2024
[j32]Darong Huang
, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza:
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. IEEE Trans. Sustain. Comput. 9(4): 661-676 (2024)- [i9]Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza:
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR abs/2401.09420 (2024) - 2023
- [j31]Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza:
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. IEEE Trans. Computers 72(7): 1985-1998 (2023) - [j30]Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Miroslav Vasic, David Atienza:
Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC Converters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 2-15 (2023) - [j29]Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max Christian Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian:
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30(4): 162-169 (2023) - [c45]Rafael Medina, Joshua Kein, Giovanni Ansaloni, Marina Zapater, Sergi Abadal, Eduard Alarcón, David Atienza:
System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms. ASP-DAC 2023: 561-566 - [c44]Rafael Medina, Darong Huang, Giovanni Ansaloni, Marina Zapater, David Atienza:
REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot Removal. VLSI-SoC 2023: 1-6 - [i6]Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza:
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR abs/2309.16333 (2023) - 2022
- [j27]Darong Huang, Ali Pahlevan, Marina Zapater, David Atienza:
COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 386-399 (2022) - [j26]Arman Iranfar, Marina Zapater, David Atienza:
Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1034-1047 (2022) - [j25]Federico Terraneo, Alberto Leva, William Fornaciari, Marina Zapater, David Atienza:
3D-ICE 3.0: Efficient Nonlinear MPSoC Thermal Simulation With Pluggable Heat Sink Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1062-1075 (2022) - [j24]Darong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza:
Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5596-5609 (2022) - [j23]Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza:
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Trans. Serv. Comput. 15(1): 30-44 (2022) - [c43]Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza:
Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays. ACM Great Lakes Symposium on VLSI 2022: 223-228 - [c42]Rafael Medina, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza:
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures. LASCAS 2022: 1-4 - [p1]Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater:
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. Technologies and Applications for Big Data Value 2022: 183-202 - [i5]Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza:
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning. CoRR abs/2205.10042 (2022) - 2021
- [j22]Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting deep learning models for epileptic seizure detection on EEG signals. Artif. Intell. Medicine 117: 102084 (2021) - [j21]Ramon Canal, Carles Hernández, Rafael Tornero, Alessandro Cilardo, Giuseppe Massari, Federico Reghenzani, William Fornaciari, Marina Zapater, David Atienza, Ariel Oleksiak, Wojciech Piatek, Jaume Abella:
Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. ACM Comput. Surv. 53(5): 95:1-95:32 (2021) - [j19]Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza:
Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization. ACM Trans. Archit. Code Optim. 18(4): 44:1-44:27 (2021) - [j18]Yasir Mahmood Qureshi, Jose Manuel Herruzo, Marina Zapater, Katzalin Olcoz, Sonia Gonzalez-Navarro, Oscar G. Plata, David Atienza:
Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures. IEEE Trans. Computers 70(12): 2218-2233 (2021) - [j17]Ali Pahlevan, Marina Zapater, Ayse K. Coskun, David Atienza:
ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets. IEEE Trans. Sustain. Comput. 6(2): 289-305 (2021) - [c41]Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian, Davide Rossi, Francesco Conti, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max Christian Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal:
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF 2021: 191-193 - [c40]William Andrew Simon, Valérian Ray, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza:
Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding. DAC 2021: 805-810 - [i3]Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernández Luz, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater:
The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems. CoRR abs/2103.03044 (2021) - 2020
- [j16]Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater:
The RECIPE approach to challenges in deeply heterogeneous high performance systems. Microprocess. Microsystems 77: 103185 (2020) - [j15]William Andrew Simon, Yasir Mahmood Qureshi, Marco Rios, Alexandre Levisse, Marina Zapater, David Atienza:
BLADE: An in-Cache Computing Architecture for Edge Devices. IEEE Trans. Computers 69(9): 1349-1363 (2020) - [j14]Luis Costero, Arman Iranfar, Marina Zapater, Francisco D. Igual, Katzalin Olcoz, David Atienza:
Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31(12): 2834-2850 (2020) - [c39]Arman Iranfar, Federico Terraneo, Gabor Csordas, Marina Zapater, William Fornaciari, David Atienza:
Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning. DATE 2020: 418-423 - [c38]Halima Najibi, Alexandre Levisse, Marina Zapater, Mohamed M. Sabry Aly, David Atienza:
Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology. ACM Great Lakes Symposium on VLSI 2020: 513-518 - [c37]Halima Najibi, Jorge Hunter, Alexandre Levisse, Marina Zapater, Miroslav Vasic, David Atienza:
Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters. ISVLSI 2020: 18-23 - [c36]William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza:
A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance. VLSI-SOC 2020: 94-99 - [i2]Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max Christian Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian:
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR abs/2011.04107 (2020) - [i1]Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals. CoRR abs/2012.11933 (2020) - 2019
- [c35]William Andrew Simon, Juan Galicia, Alexandre Levisse, Marina Zapater, David Atienza:
A Fast, Reliable and Wide-Voltage-Range In-Memory Computing Architecture. DAC 2019: 83 - [c34]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 - [c33]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 - [c32]Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater:
Challenges in Deeply Heterogeneous High Performance Systems. DSD 2019: 428-435 - [c31]William Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza:
BLADE: A BitLine Accelerator for Devices on the Edge. ACM Great Lakes Symposium on VLSI 2019: 207-212 - [c28]Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, David Atienza, Katzalin Olcoz:
Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms. SpringSim 2019: 1-12 - [c27]Marco Rios, William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza:
An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication. VLSI-SoC 2019: 34-39 - [c26]João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon:
A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories. VLSI-SoC 2019: 160-165 - [c25]Arman Iranfar, Wellington Silva de Souza, Marina Zapater, Katzalin Olcoz, Samuel Xavier de Souza, David Atienza:
A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers. VLSI-SoC 2019: 211-216 - [c24]Wellington Silva de Souza, Arman Iranfar, Anderson B. N. da Silva, Marina Zapater, Samuel Xavier de Souza, Katzalin Olcoz, David Atienza:
A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers. VLSI-SoC 2019: 230-231 - [c23]João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon:
Accelerating Inference on Binary Neural Networks with Digital RRAM Processing. VLSI-SoC (Selected Papers) 2019: 257-278 - 2018
- [j12]Artem Aleksandrovich Andreev, Arvind Sridhar, Mohamed M. Sabry, Marina Zapater, Patrick W. Ruch, Bruno Michel, David Atienza:
PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays. IEEE Trans. Computers 67(1): 73-85 (2018) - [j11]Ali Pahlevan, Xiaoyu Qu, Marina Zapater, David Atienza:
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(8): 1667-1680 (2018) - [j10]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 Distributed Syst. 29(10): 2268-2281 (2018) - [c21]Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini, David Atienza:
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not? DATE 2018: 147-152 - [c20]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 - [c19]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 - [c18]Artem Aleksandrovich Andreev, Fulya Kaplan, Marina Zapater, Ayse K. Coskun, David Atienza:
Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays. ISLPED 2018: 42:1-42:6 - [c17]William Fornaciari, Giovanni Agosta, David Atienza, Carlo Brandolese, Leila Cammoun, Luca Cremona, Alessandro Cilardo, Albert Farrés, José Flich, Carles Hernández, Michal Kulchewski, Simone Libutti, José Maria Martínez, Giuseppe Massari, Ariel Oleksiak, Anna Pupykina, Federico Reghenzani, Rafael Tornero, Michele Zanella, Marina Zapater, Davide Zoni:
Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems. SAMOS 2018: 187-194 - 2017
- [c16]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 - [c15]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:
MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems. DSD 2017: 478-485 - [c14]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 - 2016
- [c12]Ali Pahlevan, Javier Picorel, Arash Pourhabibi Zarandi, Davide Rossi, Marina Zapater, Andrea Bartolini, Pablo García Del Valle, David Atienza, Luca Benini, Babak Falsafi:
Towards near-threshold server processors. DATE 2016: 7-12
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