Marina Zapater

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 70

Top Topics

Machine Learning

Grammatical Evolution

Video Transcoding

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

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 (2024)
Guillaume Chacun, Mehdi Akeddar, Thomas Rieder, Bruno Da Rocha Carvalho, Marina Zapater
DroneBandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones. ACM Great Lakes Symposium on VLSI (2024)
Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. CoRR (2024)
José L. Risco-Martín, Saurabh Mittal, Juan Carlos Fabero Jiménez, Marina Zapater, Román Hermida
Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark. CoRR (2024)
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) (2024)
Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. CoRR (2023)
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) (2023)
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 C. 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) (2023)
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)
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) (2023)
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)
Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya, José L. Ayala
Energy-aware task scheduling in data centers using an application signature. Comput. Electr. Eng. 97 (2022)
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) (2022)
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) (2022)
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)
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) (2022)
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 (2022)
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)
Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José Manuel Moya, Román Hermida
Runtime data center temperature prediction using Grammatical Evolution techniques. CoRR (2022)
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) (2022)
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) (2022)
Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya, José L. Ayala
Fast energy estimation framework for long-running applications. Future Gener. Comput. Syst. 115 (2021)
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 C. Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF (2021)
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) (2021)
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)
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 (2021)
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) (2021)
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) (2021)
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 (2021)
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)
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 C. 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 (2020)
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)
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)
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)
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 (2020)
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) (2020)
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) (2020)
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) (2020)
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 (2020)
Marco Rios, William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza
An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication. VLSI-SoC (2019)
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)
Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, Jose Flich, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater
Challenges in Deeply Heterogeneous High Performance Systems. DSD (2019)
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)
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)
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)
Arman Iranfar, Ali Pahlevan, Marina Zapater, David Atienza
Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. DATE (2019)
William Andrew Simon, Juan Galicia, Alexandre Levisse, Marina Zapater, David Atienza
A Fast, Reliable and Wide-Voltage-Range In-Memory Computing Architecture. DAC (2019)
Kevin Henares, José Luis Risco-Martín, Marina Zapater
Definition Of A Transparent Constraint-Based Modeling And Simulation Layer For The Management Of Complex Systems. SpringSim (2019)
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)
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)
Halima Najibi, Alexandre Levisse, Marina Zapater
A Design Framework for Thermal-Aware Power Delivery Network in 3D MPSoCs with Integrated Flow Cell Arrays. ISLPED (2019)
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)
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)
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)
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)
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)
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) (2018)
Josué Pagán, Marina Zapater, José L. Ayala
Power transmission and workload balancing policies in eHealth mobile cloud computing scenarios. Future Gener. Comput. Syst. 78 (2018)
Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya, José Luis Ayala
Fast Energy Estimation Through Partial Execution of HPC Applications. ASAP (2018)
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) (2018)
William Fornaciari, Giovanni Agosta, David Atienza, Carlo Brandolese, Leila Cammoun, Luca Cremona, Alessandro Cilardo, Albert Farres, 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)
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) (2018)
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)
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)
José L. Risco-Martín, Saurabh Mittal, Juan Carlos Fabero Jiménez, Marina Zapater, Román Hermida
Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark. Simul. 93 (6) (2017)
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)
Ignacio Penas, Marina Zapater, José L. Risco-Martín, José L. Ayala
SFIDE: a simulation infrastructure for data centers. SummerSim (2017)
Juan C. Salinas Hilburg, Marina Zapater, José Luis Risco-Martín, José Manuel Moya, José Luis Ayala
Unsupervised power modeling of co-allocated workloads for energy efficiency in data centers. DATE (2016)
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)
Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José Manuel Moya, Román Hermida
Runtime data center temperature prediction using Grammatical Evolution techniques. Appl. Soft Comput. 49 (2016)
Alfredo Cuesta-Infante, J. Manuel Colmenar, Zorana Bankovic, José L. Risco-Martín, Marina Zapater, José Ignacio Hidalgo, José Luis Ayala, José Manuel Moya
Comparative study of meta-heuristic 3D floorplanning algorithms. Neurocomputing 150 (2015)
Marco D. Santambrogio, José L. Ayala, Simone Campanoni, Riccardo Cattaneo, Gianluca C. Durelli, Matteo Ferroni, Alessandro Antonio Nacci, Josué Pagán, Marina Zapater, Mónica Vallejo
Power-awareness and smart-resource management in embedded computing systems. CODES+ISSS (2015)
Patricia Arroba, José Luis Risco-Martín, Marina Zapater, José Manuel Moya, José Luis Ayala
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. J. Grid Comput. 13 (3) (2015)
Ignacio Aransay, Marina Zapater, Patricia Arroba, José Manuel Moya
A Trust and Reputation System for Energy Optimization in Cloud Data Centers. CLOUD (2015)
Marina Zapater, Ata Turk, José Manuel Moya, José Luis Ayala, Ayse K. Coskun
Dynamic workload and cooling management in high-efficiency data centers. IGSC (2015)
Marina Zapater, David Fraga, Pedro Malagón, Zorana Bankovic, José Manuel Moya
Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres. Log. J. IGPL 23 (3) (2015)
Marina Zapater, Ozan Tuncer, José Luis Ayala, José Manuel Moya, Kalyan Vaidyanathan, Kenny C. Gross, Ayse K. Coskun
Leakage-Aware Cooling Management for Improving Server Energy Efficiency. IEEE Trans. Parallel Distributed Syst. 26 (10) (2015)
Juan C. Salinas Hilburg, Marina Zapater, José Luis Risco-Martín, José Manuel Moya, Jose L. Rodrigo
Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers. CISIS (2015)
Marina Zapater, Patricia Arroba, José Luis Ayala, José Manuel Moya, Katzalin Olcoz
A novel energy-driven computing paradigm for e-health scenarios. Future Gener. Comput. Syst. 34 (2014)
Marina Zapater, José Luis Ayala, José Manuel Moya, Kalyan Vaidyanathan, Kenny C. Gross, Ayse K. Coskun
Leakage and temperature aware server control for improving energy efficiency in data centers. DATE (2013)
Marina Zapater, César Sánchez, José L. Ayala, José Manuel Moya, José L. Risco-Martín
Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors 12 (8) (2012)
Marina Zapater, José L. Ayala, José Manuel Moya
GreenDisc: A HW/SW Energy Optimization Framework in Globally Distributed Computation. UCAmI (2012)
Marina Zapater, José L. Ayala, José Manuel Moya
Leveraging Heterogeneity for Energy Minimization in Data Centers. CCGRID (2012)
Pedro Malagón, Juan-Mariano de Goyeneche, Marina Zapater, José Manuel Moya, Zorana Bankovic
Compiler Optimizations as a Countermeasure against Side-Channel Analysis in MSP430-Based Devices. Sensors 12 (6) (2012)
Iván Álvarez, Pedro Malagón, Marina Zapater, Juan-Mariano de Goyeneche, José Manuel Moya
RFID Performance in Localization Systems. IWAAL (2011)
Pedro Malagón, Juan-Mariano de Goyeneche, Marina Zapater, José Manuel Moya
Avoiding Side-Channel Attacks in Embedded Systems with Non-deterministic Branches. IWIA (2010)
Marina Zapater, José L. Risco-Martín, Zorana Bankovic, José Luis Ayala, José Manuel Moya
Combined Dynamic-Static Approach for Thermal-Awareness in Heterogeneous Data Centers. IWIA (2010)