Avoiding Side-Channel Attacks in Embedded Systems with Non-deterministic Branches. - Pedro Malagón; Juan-Mariano de Goyeneche; Marina Zapater; José Manuel Moya (IWIA, 2010)

Combined Dynamic-Static Approach for Thermal-Awareness in Heterogeneous Data Centers. - Marina Zapater; José L. Risco-Martín; Zorana Bankovic; José Luis Ayala; José Manuel Moya (IWIA, 2010)

RFID Performance in Localization Systems. - Iván Álvarez; Pedro Malagón; Marina Zapater; Juan-Mariano de Goyeneche; José Manuel Moya (IWAAL, 2011)

Leveraging Heterogeneity for Energy Minimization in Data Centers. - Marina Zapater; José L. Ayala; José Manuel Moya (CCGRID, 2012)

GreenDisc: A HW/SW Energy Optimization Framework in Globally Distributed Computation. - Marina Zapater; José L. Ayala; José Manuel Moya (UCAmI, 2012)

Compiler Optimizations as a Countermeasure against Side-Channel Analysis in MSP430-Based Devices. - Pedro Malagón; Juan-Mariano de Goyeneche; Marina Zapater; José Manuel Moya; Zorana Bankovic (Sensors, 2012)

Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. - Marina Zapater; César Sánchez 001; José L. Ayala; José Manuel Moya; José L. Risco-Martín (Sensors, 2012)

Leakage and temperature aware server control for improving energy efficiency in data centers. - Marina Zapater; José Luis Ayala; José Manuel Moya; Kalyan Vaidyanathan; Kenny C. Gross; Ayse K. Coskun (DATE, 2013)

A novel energy-driven computing paradigm for e-health scenarios. - Marina Zapater; Patricia Arroba; José Luis Ayala; José Manuel Moya; Katzalin Olcoz (Future Gener. Comput. Syst., 2014)

A Trust and Reputation System for Energy Optimization in Cloud Data Centers. - Ignacio Aransay; Marina Zapater; Patricia Arroba; José Manuel Moya (CLOUD, 2015)

Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers. - Juan C. Salinas Hilburg; Marina Zapater; José Luis Risco-Martín; José Manuel Moya; Jose L. Rodrigo (CISIS, 2015)

Power-awareness and smart-resource management in embedded computing systems. - Marco D. Santambrogio; José L. Ayala; Simone Campanoni; Riccardo Cattaneo; Gianluca C. Durelli; Matteo Ferroni; Alessandro Antonio Nacci; Josué Pagán; Marina Zapater; Mónica Vallejo (CODES+ISSS, 2015)

Dynamic workload and cooling management in high-efficiency data centers. - Marina Zapater; Ata Turk; José Manuel Moya; José Luis Ayala; Ayse K. Coskun (IGSC, 2015)

Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. - Patricia Arroba; José Luis Risco-Martín; Marina Zapater; José Manuel Moya; José Luis Ayala (J. Grid Comput., 2015)

Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres. - Marina Zapater; David Fraga 001; Pedro Malagón; Zorana Bankovic; José Manuel Moya (Log. J. IGPL, 2015)

Comparative study of meta-heuristic 3D floorplanning algorithms. - Alfredo Cuesta-Infante; J. Manuel Colmenar; Zorana Bankovic; José L. Risco-Martín; Marina Zapater; José Ignacio Hidalgo; José Luis Ayala; José Manuel Moya (Neurocomputing, 2015)

Leakage-Aware Cooling Management for Improving Server Energy Efficiency. - Marina Zapater; Ozan Tuncer; José Luis Ayala; José Manuel Moya; Kalyan Vaidyanathan; Kenny C. Gross; Ayse K. Coskun (IEEE Trans. Parallel Distributed Syst., 2015)

Unsupervised power modeling of co-allocated workloads for energy efficiency in data centers. - Juan C. Salinas Hilburg; Marina Zapater; José Luis Risco-Martín; José Manuel Moya; José Luis Ayala (DATE, 2016)

Towards near-threshold server processors. - Ali Pahlevan; Javier Picorel; Arash Pourhabibi Zarandi; Davide Rossi; Marina Zapater; Andrea Bartolini; Pablo García Del Valle; David Atienza; Luca Benini; Babak Falsafi (DATE, 2016)

Runtime data center temperature prediction using Grammatical Evolution techniques. - Marina Zapater; José L. Risco-Martín; Patricia Arroba; José L. Ayala; José Manuel Moya; Román Hermida (Appl. Soft Comput., 2016)

A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress. - Arman Iranfar; Marina Zapater; David Atienza (CODES+ISSS, 2017)

MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems. - 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; et al. (DSD, 2017)

Thermal characterization of next-generation workloads on heterogeneous MPSoCs. - Arman Iranfar; Federico Terraneo; William Andrew Simon; Leon Dragic; Igor Piljic; Marina Zapater; William Fornaciari; Mario Kovac; David Atienza (SAMOS, 2017)

SFIDE: a simulation infrastructure for data centers. - Ignacio Penas; Marina Zapater; José L. Risco-Martín; José L. Ayala (SummerSim, 2017)

Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark. - José L. Risco-Martín; Saurabh Mittal; Juan Carlos Fabero Jiménez; Marina Zapater; Román Hermida (Simul., 2017)

Fast Energy Estimation Through Partial Execution of HPC Applications. - Juan Carlos Salinas-Hilburg; Marina Zapater; José Manuel Moya; José Luis Ayala (ASAP, 2018)

Online efficient bio-medical video transcoding on MPSoCs through content-aware workload allocation. - Arman Iranfar; Ali Pahlevan; Marina Zapater; Martin Zagar; Mario Kovac; David Atienza (DATE, 2018)

Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not? - Ali Pahlevan; Yasir Mahmood Qureshi; Marina Zapater; Andrea Bartolini; Davide Rossi; Luca Benini; David Atienza (DATE, 2018)

A Machine Learning-Based Strategy for Efficient Resource Management of Video Encoding on Heterogeneous MPSoCs. - Arman Iranfar; William Andrew Simon; Marina Zapater; David Atienza (ISCAS, 2018)

Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays. - Artem Aleksandrovich Andreev; Fulya Kaplan; Marina Zapater; Ayse K. Coskun; David Atienza (ISLPED, 2018)

Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems. - William Fornaciari; Giovanni Agosta; David Atienza; Carlo Brandolese; Leila Cammoun; Luca Cremona; Alessandro Cilardo; Albert Farrés; José Flich; Carles Hernández 001; Michal Kulchewski; Simone Libutti; et al. (SAMOS, 2018)

Power transmission and workload balancing policies in eHealth mobile cloud computing scenarios. - Josué Pagán; Marina Zapater; José L. Ayala (Future Gener. Comput. Syst., 2018)

PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays. - Artem Aleksandrovich Andreev; Arvind Sridhar; Mohamed M. Sabry; Marina Zapater; Patrick W. Ruch; Bruno Michel; David Atienza (IEEE Trans. Computers, 2018)

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers. - Ali Pahlevan; Xiaoyu Qu; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Machine Learning-Based Quality-Aware Power and Thermal Management of Multistream HEVC Encoding on Multicore Servers. - Arman Iranfar; Marina Zapater; David Atienza (IEEE Trans. Parallel Distributed Syst., 2018)

A Fast, Reliable and Wide-Voltage-Range In-Memory Computing Architecture. - William Andrew Simon; Juan Galicia; Alexandre Levisse; Marina Zapater; David Atienza (DAC, 2019)

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. - Luis Costero; Arman Iranfar; Marina Zapater; Francisco D. Igual; Katzalin Olcoz; David Atienza (DATE, 2019)

Enhancing Two-Phase Cooling Efficiency through Thermal-Aware Workload Mapping for Power-Hungry Servers. - Arman Iranfar; Ali Pahlevan; Marina Zapater; David Atienza (DATE, 2019)

Challenges in Deeply Heterogeneous High Performance Systems. - Giovanni Agosta; William Fornaciari; David Atienza; Ramon Canal; Alessandro Cilardo; José Flich; Carles Hernández 001; Michal Kulczewski; Giuseppe Massari; Rafael Tornero Gavilá; Marina Zapater (DSD, 2019)

BLADE: A BitLine Accelerator for Devices on the Edge. - William Andrew Simon; Yasir Mahmood Qureshi; Alexandre Levisse; Marina Zapater; David Atienza (ACM Great Lakes Symposium on VLSI, 2019)

A Design Framework for Thermal-Aware Power Delivery Network in 3D MPSoCs with Integrated Flow Cell Arrays. - Halima Najibi; Alexandre Levisse; Marina Zapater (ISLPED, 2019)

Definition Of A Transparent Constraint-Based Modeling And Simulation Layer For The Management Of Complex Systems. - Kevin Henares; José Luis Risco-Martín; Marina Zapater (SpringSim, 2019)

Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms. - Yasir Mahmood Qureshi; William Andrew Simon; Marina Zapater; David Atienza; Katzalin Olcoz (SpringSim, 2019)

A Machine Learning-Based Framework for Throughput Estimation of Time-Varying Applications in Multi-Core Servers. - Arman Iranfar; Wellington Silva de Souza; Marina Zapater; Katzalin Olcoz; Samuel Xavier de Souza; David Atienza (VLSI-SoC, 2019)

An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication. - Marco Rios; William Andrew Simon; Alexandre Levisse; Marina Zapater; David Atienza (VLSI-SoC, 2019)

A QoS and Container-Based Approach for Energy Saving and Performance Profiling in Multi-Core Servers. - Wellington Silva de Souza; Arman Iranfar; Anderson B. N. da Silva; Marina Zapater; Samuel Xavier de Souza; Katzalin Olcoz; David Atienza (VLSI-SoC, 2019)

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories. - João Vieira; Edouard Giacomin; Yasir Mahmood Qureshi; Marina Zapater; Xifan Tang; Shahar Kvatinsky; David Atienza; Pierre-Emmanuel Gaillardon (VLSI-SoC, 2019)

Accelerating Inference on Binary Neural Networks with Digital RRAM Processing. - João Vieira; Edouard Giacomin; Yasir Mahmood Qureshi; Marina Zapater; Xifan Tang; Shahar Kvatinsky; David Atienza; Pierre-Emmanuel Gaillardon (VLSI-SoC (Selected Papers), 2019)

Dynamic Thermal Management with Proactive Fan Speed Control Through Reinforcement Learning. - Arman Iranfar; Federico Terraneo; Gabor Csordas; Marina Zapater; William Fornaciari; David Atienza (DATE, 2020)

Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology. - Halima Najibi; Alexandre Levisse; Marina Zapater; Mohamed M. Sabry Aly; David Atienza (ACM Great Lakes Symposium on VLSI, 2020)

Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters. - Halima Najibi; Jorge Hunter; Alexandre Levisse; Marina Zapater; Miroslav Vasic; David Atienza (ISVLSI, 2020)

A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance. - William Andrew Simon; Alexandre Levisse; Marina Zapater; David Atienza (VLSI-SOC, 2020)

Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. - Sergi Abadal; Robert Guirado; Hamidreza Taghvaee; Akshay Jain 001; Elana Pereira de Santana; Peter Haring Bolívar; Mohamed Saeed Elsayed; Renato Negra; Zhenxing Wang; Kun-Ta Wang; Max Christian Lemme; Joshua Alexander Harrison Klein; et al. (CoRR, 2020)

The RECIPE approach to challenges in deeply heterogeneous high performance systems. - Giovanni Agosta; William Fornaciari; David Atienza; Ramon Canal; Alessandro Cilardo; José Flich Cardo; Carles Hernández 001; Michal Kulczewski; Giuseppe Massari; Rafael Tornero Gavilá; Marina Zapater (Microprocess. Microsystems, 2020)

BLADE: An in-Cache Computing Architecture for Edge Devices. - William Andrew Simon; Yasir Mahmood Qureshi; Marco Rios; Alexandre Levisse; Marina Zapater; David Atienza (IEEE Trans. Computers, 2020)

Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning. - Luis Costero; Arman Iranfar; Marina Zapater; Francisco D. Igual; Katzalin Olcoz; David Atienza (IEEE Trans. Parallel Distributed Syst., 2020)

Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). - Joshua Alexander Harrison Klein; Alexandre Levisse; Giovanni Ansaloni; David Atienza; Marina Zapater; Martino Dazzi; Geethan Karunaratne; Irem Boybat; Abu Sebastian; Davide Rossi; Francesco Conti 001; Elana Pereira de Santana; et al. (CF, 2021)

Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding. - William Andrew Simon; Valérian Ray; Alexandre Levisse; Giovanni Ansaloni; Marina Zapater; David Atienza (DAC, 2021)

Interpreting deep learning models for epileptic seizure detection on EEG signals. - Valentin Gabeff; Tomás Teijeiro; Marina Zapater; Leila Cammoun; Sylvain Rheims; Philippe Ryvlin; David Atienza (Artif. Intell. Medicine, 2021)

Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. - Ramon Canal; Carles Hernández 001; Rafael Tornero; Alessandro Cilardo; Giuseppe Massari; Federico Reghenzani; William Fornaciari; Marina Zapater; David Atienza; Ariel Oleksiak; Wojciech Piatek; Jaume Abella 001 (ACM Comput. Surv., 2021)

Fast energy estimation framework for long-running applications. - Juan Carlos Salinas-Hilburg; Marina Zapater; José Manuel Moya; José L. Ayala (Future Gener. Comput. Syst., 2021)

Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization. - Yasir Mahmood Qureshi; William Andrew Simon; Marina Zapater; Katzalin Olcoz; David Atienza (ACM Trans. Archit. Code Optim., 2021)

Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures. - Yasir Mahmood Qureshi; Jose Manuel Herruzo; Marina Zapater; Katzalin Olcoz; Sonia Gonzalez-Navarro; Oscar G. Plata; David Atienza (IEEE Trans. Computers, 2021)

ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets. - Ali Pahlevan; Marina Zapater; Ayse K. Coskun; David Atienza (IEEE Trans. Sustain. Comput., 2021)

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. - 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 001; et al. (Technologies and Applications for Big Data Value, 2022)

Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays. - Halima Najibi; Alexandre Levisse; Giovanni Ansaloni; Marina Zapater; David Atienza (ACM Great Lakes Symposium on VLSI, 2022)

Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures. - Rafael Medina 001; Joshua Kein; Yasir Mahmood Qureshi; Marina Zapater; Giovanni Ansaloni; David Atienza (LASCAS, 2022)

Energy-aware task scheduling in data centers using an application signature. - Juan Carlos Salinas-Hilburg; Marina Zapater; José Manuel Moya; José L. Ayala (Comput. Electr. Eng., 2022)

Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers. - Darong Huang; Ali Pahlevan; Luis Costero; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management. - Darong Huang; Ali Pahlevan; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Multiagent Reinforcement Learning for Hyperparameter Optimization of Convolutional Neural Networks. - Arman Iranfar; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

3D-ICE 3.0: Efficient Nonlinear MPSoC Thermal Simulation With Pluggable Heat Sink Models. - Federico Terraneo; Alberto Leva; William Fornaciari; Marina Zapater; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. - Kawsar Haghshenas; Ali Pahlevan; Marina Zapater; Siamak Mohammadi; David Atienza (IEEE Trans. Serv. Comput., 2022)

System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms. - Rafael Medina 001; Joshua Kein; Giovanni Ansaloni; Marina Zapater; Sergi Abadal; Eduard Alarcón; David Atienza (ASP-DAC, 2023)

REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot Removal. - Rafael Medina 001; Darong Huang; Giovanni Ansaloni; Marina Zapater; David Atienza (VLSI-SoC, 2023)

Thermal and Voltage-Aware Performance Management of 3-D MPSoCs With Flow Cell Arrays and Integrated SC Converters. - Halima Najibi; Alexandre Levisse; Giovanni Ansaloni; Marina Zapater; Miroslav Vasic; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. - Joshua Alexander Harrison Klein; Irem Boybat; Yasir Mahmood Qureshi; Martino Dazzi; Alexandre Levisse; Giovanni Ansaloni; Marina Zapater; Abu Sebastian; David Atienza (IEEE Trans. Computers, 2023)

Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. - Sergi Abadal; Robert Guirado; Hamidreza Taghvaee; Akshay Jain 001; Elana Pereira de Santana; Peter Haring Bolívar; Mohamed Saeed; Renato Negra; Zhenxing Wang; Kun-Ta Wang; Max Christian Lemme; Joshua Alexander Harrison Klein; et al. (IEEE Wirel. Commun., 2023)

DroneBandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones. - Guillaume Chacun; Mehdi Akeddar; Thomas Rieder; Bruno Da Rocha Carvalho; Marina Zapater (ACM Great Lakes Symposium on VLSI, 2024)

Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. - Anna Burdina; Gabriel Catel Torres; Pasquale Davide Schiavone; Miguel Peón-Quirós; Giovanni Ansaloni; David Atienza; Marina Zapater (ISLPED, 2024)

LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. - Corey Lammie; Flavio Ponzina; Yuxuan Wang 003; Joshua Alexander Harrison Klein; Marina Zapater; Irem Boybat; Abu Sebastian; Giovanni Ansaloni; David Atienza (CoRR, 2024)

Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. - Patricia Arroba; José L. Risco-Martín; Marina Zapater; José M. Moya; José L. Ayala (CoRR, 2024)

CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. - Darong Huang; Luis Costero; Ali Pahlevan; Marina Zapater; David Atienza (IEEE Trans. Sustain. Comput., 2024)

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads. - Qunyou Liu; Darong Huang; Luis Costero; Marina Zapater; David Atienza (ACM Trans. Archit. Code Optim., 2024)

Bank on Compute-Near-Memory: Design Space Exploration of Processing-Near-Bank Architectures. - Rafael Medina 001; Giovanni Ansaloni; Marina Zapater; Alexandre Levisse; Saeideh Alinezhad Chamazcoti; Timon Evenblij; Dwaipayan Biswas; Francky Catthoor; David Atienza (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Gem5-AcceSys: Enabling System-Level Exploration of Standard Interconnects for Novel Accelerators. - Qunyou Liu; Marina Zapater; David Atienza (CoRR, 2025)

MatrixFlow: System-Accelerator co-design for high-performance transformer applications. - Qunyou Liu; Marina Zapater; David Atienza (CoRR, 2025)

Towards Accurate RISC-V Full System Simulation via Component-Level Calibration. - Karan Pathak; Joshua Alexander Harrison Klein; Giovanni Ansaloni; Said Hamdioui; Georgi Gaydadjiev; Marina Zapater; David Atienza (ACM Trans. Embed. Comput. Syst., 2025)