Marina Zapater

102 papers A* 3A 11B 2C 9Misc 3Journal 53Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
CXLRAMSim v1.0: System-Level Exploration of CXL Memory Expander Cards.
CoRR
Karan Pathak, David Atienza, Marina Zapater
2026 J jnl
Mitigating the Bandwidth Wall via Data-Streaming System-Accelerator Co-Design.
CoRR
Qunyou Liu, Marina Zapater, David Atienza
2026 J jnl
SigmaQuant: Hardware-Aware Heterogeneous Quantization Method for Edge DNN Inference.
CoRR
Qunyou Liu, Pengbo Yu, Marina Zapater, David Atienza
2025 A* conf
Gem5-AcceSys: Enabling System-Level Exploration of Standard Interconnects for Novel Accelerators.
DAC
Qunyou Liu, Marina Zapater, David Atienza
2025 J jnl
Gem5-AcceSys: Enabling System-Level Exploration of Standard Interconnects for Novel Accelerators.
CoRR
Qunyou Liu, Marina Zapater, David Atienza
2025 J jnl
GreenLLM: SLO-Aware Dynamic Frequency Scaling for Energy-Efficient LLM Serving.
CoRR
Qunyou Liu, Darong Huang, Marina Zapater, David Atienza
2025 J jnl
LionHeart: A Layer-Based Mapping Framework for Heterogeneous Systems With Analog In-Memory Computing Tiles.
IEEE Trans. Emerg. Top. Comput.
Corey Lammie, Yuxuan Wang, Flavio Ponzina, Joshua Alexander Harrison Klein, Hadjer Benmeziane, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2025 J jnl
MatrixFlow: System-Accelerator co-design for high-performance transformer applications.
CoRR
Qunyou Liu, Marina Zapater, David Atienza
2025 J jnl
SideDRAM: Integrating SoftSIMD Datapaths near DRAM Banks for Energy-Efficient Variable Precision Computation.
ACM Trans. Embed. Comput. Syst.
Rafael Medina Morillas, Pengbo Yu, Alexandre Levisse, Dwaipayan Biswas, Marina Zapater, Giovanni Ansaloni, Francky Catthoor, David Atienza
2025 J jnl
Towards Accurate RISC-V Full System Simulation via Component-Level Calibration.
ACM Trans. Embed. Comput. Syst.
Karan Pathak, Joshua Alexander Harrison Klein, Giovanni Ansaloni, Said Hamdioui, Georgi Gaydadjiev, Marina Zapater, David Atienza
2024 J jnl
Bank on Compute-Near-Memory: Design Space Exploration of Processing-Near-Bank Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Rafael Medina, Giovanni Ansaloni, Marina Zapater, Alexandre Levisse, Saeideh Alinezhad Chamazcoti, Timon Evenblij, Dwaipayan Biswas, Francky Catthoor, David Atienza
2024 J jnl
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds.
IEEE Trans. Sustain. Comput.
Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
2024 A conf
Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware.
ISLPED
Anna Burdina, Gabriel Catel Torres, Pasquale Davide Schiavone, Miguel Peón-Quirós, Giovanni Ansaloni, David Atienza, Marina Zapater
2024 — conf
DroneBandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones.
ACM Great Lakes Symposium on VLSI
Guillaume Chacun, Mehdi Akeddar, Thomas Rieder, Bruno Da Rocha Carvalho, Marina Zapater
2024 J jnl
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering.
CoRR
Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala
2024 J jnl
Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads.
ACM Trans. Archit. Code Optim.
Qunyou Liu, Darong Huang, Luis Costero, Marina Zapater, David Atienza
2024 J jnl
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles.
CoRR
Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Alexander Harrison Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2024 J jnl
Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark.
CoRR
José L. Risco-Martín, Saurabh Mittal, Juan Carlos Fabero Jiménez, Marina Zapater, Román Hermida
2024 J jnl
Which Coupled is Best Coupled? An Exploration of AIMC Tile Interfaces and Load Balancing for CNNs.
IEEE Trans. Parallel Distributed Syst.
Joshua Alexander Harrison Klein, Irem Boybat, Giovanni Ansaloni, Marina Zapater, David Atienza
2023 J jnl
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning.
IEEE Trans. Computers
Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2023 J jnl
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds.
CoRR
Darong Huang, Luis Costero, Ali Pahlevan, Marina Zapater, David Atienza
2023 J jnl
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors.
IEEE Wirel. Commun.
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 Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2023 C conf
REMOTE: Re-thinking Task Mapping on Wireless 2.5D Systems-on-Package for Hotspot Removal.
VLSI-SoC
Rafael Medina, Darong Huang, Giovanni Ansaloni, Marina Zapater, David Atienza
2023 — conf
System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms.
ASP-DAC
Rafael Medina, Joshua Kein, Giovanni Ansaloni, Marina Zapater, Sergi Abadal, Eduard Alarcón, David Atienza
2023 J jnl
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.
Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Miroslav Vasic, David Atienza
2022 J jnl
3D-ICE 3.0: Efficient Nonlinear MPSoC Thermal Simulation With Pluggable Heat Sink Models.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Federico Terraneo, Alberto Leva, William Fornaciari, Marina Zapater, David Atienza
2022 J jnl
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning.
CoRR
Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2022 J jnl
COCKTAIL: Multicore Co-Optimization Framework With Proactive Reliability Management.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Darong Huang, Ali Pahlevan, Marina Zapater, David Atienza
2022 J jnl
Energy-aware task scheduling in data centers using an application signature.
Comput. Electr. Eng.
Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya, José L. Ayala
2022 — conf
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures.
LASCAS
Rafael Medina, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza
2022 J jnl
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers.
IEEE Trans. Serv. Comput.
Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza
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
2022 J jnl
Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Darong Huang, Ali Pahlevan, Luis Costero, Marina Zapater, David Atienza
2022 J jnl
Runtime data center temperature prediction using Grammatical Evolution techniques.
CoRR
Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José Manuel Moya, Román Hermida
2022 — ch.
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
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
2022 — conf
Thermal and Power-Aware Run-time Performance Management of 3D MPSoCs with Integrated Flow Cell Arrays.
ACM Great Lakes Symposium on VLSI
Halima Najibi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza
2021 — conf
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH).
CF
Joshua Alexander Harrison 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
2021 J jnl
ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets.
IEEE Trans. Sustain. Comput.
Ali Pahlevan, Marina Zapater, Ayse K. Coskun, David Atienza
2021 A* conf
Exact Neural Networks from Inexact Multipliers via Fibonacci Weight Encoding.
DAC
William Andrew Simon, Valérian Ray, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, David Atienza
2021 J jnl
Fast energy estimation framework for long-running applications.
Future Gener. Comput. Syst.
Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya, José L. Ayala
2021 J jnl
Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization.
ACM Trans. Archit. Code Optim.
Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza
2021 J jnl
Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures.
IEEE Trans. Computers
Yasir Mahmood Qureshi, Jose Manuel Herruzo, Marina Zapater, Katzalin Olcoz, Sonia Gonzalez-Navarro, Oscar G. Plata, David Atienza
2021 J jnl
Interpreting deep learning models for epileptic seizure detection on EEG signals.
Artif. Intell. Medicine
Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza
2021 J jnl
Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives.
ACM Comput. Surv.
Ramon Canal, Carles Hernández, Rafael Tornero, Alessandro Cilardo, Giuseppe Massari, Federico Reghenzani, William Fornaciari, Marina Zapater, David Atienza, Ariel Oleksiak, Wojciech Piatek, Jaume Abella
2021 J jnl
The RECIPE Approach to Challenges in Deeply Heterogeneous High Performance Systems.
CoRR
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
2020 C conf
A Hybrid Cache HW/SW Stack for Optimizing Neural Network Runtime, Power and Endurance.
VLSI-SOC
William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza
2020 J jnl
BLADE: An in-Cache Computing Architecture for Edge Devices.
IEEE Trans. Computers
William Andrew Simon, Yasir Mahmood Qureshi, Marco Rios, Alexandre Levisse, Marina Zapater, 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 — conf
Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters.
ISVLSI
Halima Najibi, Jorge Hunter, Alexandre Levisse, Marina Zapater, Miroslav Vasic, David Atienza
2020 J jnl
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors.
CoRR
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 Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2020 J jnl
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals.
CoRR
Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, 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
2020 J jnl
The RECIPE approach to challenges in deeply heterogeneous high performance systems.
Microprocess. Microsystems
Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich Cardo, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater
2020 — conf
Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology.
ACM Great Lakes Symposium on VLSI
Halima Najibi, Alexandre Levisse, Marina Zapater, Mohamed M. Sabry Aly, David Atienza
2019 A conf
A Design Framework for Thermal-Aware Power Delivery Network in 3D MPSoCs with Integrated Flow Cell Arrays.
ISLPED
Halima Najibi, Alexandre Levisse, Marina Zapater
2019 A* conf
A Fast, Reliable and Wide-Voltage-Range In-Memory Computing Architecture.
DAC
William Andrew Simon, Juan Galicia, Alexandre Levisse, Marina Zapater, 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 Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories.
VLSI-SoC
João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon
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 — conf
Accelerating Inference on Binary Neural Networks with Digital RRAM Processing.
VLSI-SoC (Selected Papers)
João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon
2019 C conf
An Associativity-Agnostic in-Cache Computing Architecture Optimized for Multiplication.
VLSI-SoC
Marco Rios, William Andrew Simon, Alexandre Levisse, Marina Zapater, David Atienza
2019 — conf
BLADE: A BitLine Accelerator for Devices on the Edge.
ACM Great Lakes Symposium on VLSI
William Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza
2019 C conf
Challenges in Deeply Heterogeneous High Performance Systems.
DSD
Giovanni Agosta, William Fornaciari, David Atienza, Ramon Canal, Alessandro Cilardo, José Flich, Carles Hernández, Michal Kulczewski, Giuseppe Massari, Rafael Tornero Gavilá, Marina Zapater
2019 — conf
Definition Of A Transparent Constraint-Based Modeling And Simulation Layer For The Management Of Complex Systems.
SpringSim
Kevin Henares, José Luis Risco-Martín, Marina Zapater
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 — conf
Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms.
SpringSim
Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, David Atienza, Katzalin Olcoz
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 A conf
Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell Arrays.
ISLPED
Artem Aleksandrovich Andreev, Fulya Kaplan, Marina Zapater, Ayse K. Coskun, David Atienza
2018 A conf
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?
DATE
Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini, David Atienza
2018 — conf
Fast Energy Estimation Through Partial Execution of HPC Applications.
ASAP
Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya, José Luis Ayala
2018 J jnl
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ali Pahlevan, Xiaoyu Qu, Marina Zapater, David Atienza
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
Power transmission and workload balancing policies in eHealth mobile cloud computing scenarios.
Future Gener. Comput. Syst.
Josué Pagán, Marina Zapater, José L. Ayala
2018 J jnl
PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays.
IEEE Trans. Computers
Artem Aleksandrovich Andreev, Arvind Sridhar, Mohamed M. Sabry, Marina Zapater, Patrick W. Ruch, Bruno Michel, David Atienza
2018 — conf
Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems.
SAMOS
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
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 J jnl
Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark.
Simul.
José L. Risco-Martín, Saurabh Mittal, Juan Carlos Fabero Jiménez, Marina Zapater, Román Hermida
2017 — conf
SFIDE: a simulation infrastructure for data centers.
SummerSim
Ignacio Penas, Marina Zapater, José L. Risco-Martín, José L. Ayala
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
2016 J jnl
Runtime data center temperature prediction using Grammatical Evolution techniques.
Appl. Soft Comput.
Marina Zapater, José L. Risco-Martín, Patricia Arroba, José L. Ayala, José Manuel Moya, Román Hermida
2016 A conf
Towards near-threshold server processors.
DATE
Ali Pahlevan, Javier Picorel, Arash Pourhabibi Zarandi, Davide Rossi, Marina Zapater, Andrea Bartolini, Pablo García Del Valle, David Atienza, Luca Benini, Babak Falsafi
2016 A conf
Unsupervised power modeling of co-allocated workloads for energy efficiency in data centers.
DATE
Juan C. Salinas Hilburg, Marina Zapater, José Luis Risco-Martín, José Manuel Moya, José Luis Ayala
2015 B conf
A Trust and Reputation System for Energy Optimization in Cloud Data Centers.
CLOUD
Ignacio Aransay, Marina Zapater, Patricia Arroba, José Manuel Moya
2015 J jnl
Comparative study of meta-heuristic 3D floorplanning algorithms.
Neurocomputing
Alfredo Cuesta-Infante, J. Manuel Colmenar, Zorana Bankovic, José L. Risco-Martín, Marina Zapater, José Ignacio Hidalgo, José Luis Ayala, José Manuel Moya
2015 — conf
Dynamic workload and cooling management in high-efficiency data centers.
IGSC
Marina Zapater, Ata Turk, José Manuel Moya, José Luis Ayala, Ayse K. Coskun
2015 J jnl
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering.
J. Grid Comput.
Patricia Arroba, José Luis Risco-Martín, Marina Zapater, José Manuel Moya, José Luis Ayala
2015 J jnl
Leakage-Aware Cooling Management for Improving Server Energy Efficiency.
IEEE Trans. Parallel Distributed Syst.
Marina Zapater, Ozan Tuncer, José Luis Ayala, José Manuel Moya, Kalyan Vaidyanathan, Kenny C. Gross, Ayse K. Coskun
2015 Misc conf
Power-awareness and smart-resource management in embedded computing systems.
CODES+ISSS
Marco D. Santambrogio, José L. Ayala, Simone Campanoni, Riccardo Cattaneo, Gianluca C. Durelli, Matteo Ferroni, Alessandro Antonio Nacci, Josué Pagán, Marina Zapater, Mónica Vallejo
2015 J jnl
Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres.
Log. J. IGPL
Marina Zapater, David Fraga, Pedro Malagón, Zorana Bankovic, José Manuel Moya
2015 Misc conf
Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers.
CISIS
Juan C. Salinas Hilburg, Marina Zapater, José Luis Risco-Martín, José Manuel Moya, Jose L. Rodrigo
2014 J jnl
A novel energy-driven computing paradigm for e-health scenarios.
Future Gener. Comput. Syst.
Marina Zapater, Patricia Arroba, José Luis Ayala, José Manuel Moya, Katzalin Olcoz
2013 A conf
Leakage and temperature aware server control for improving energy efficiency in data centers.
DATE
Marina Zapater, José Luis Ayala, José Manuel Moya, Kalyan Vaidyanathan, Kenny C. Gross, Ayse K. Coskun
2012 J jnl
Compiler Optimizations as a Countermeasure against Side-Channel Analysis in MSP430-Based Devices.
Sensors
Pedro Malagón, Juan-Mariano de Goyeneche, Marina Zapater, José Manuel Moya, Zorana Bankovic
2012 — conf
GreenDisc: A HW/SW Energy Optimization Framework in Globally Distributed Computation.
UCAmI
Marina Zapater, José L. Ayala, José Manuel Moya
2012 B conf
Leveraging Heterogeneity for Energy Minimization in Data Centers.
CCGRID
Marina Zapater, José L. Ayala, José Manuel Moya
2012 J jnl
Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments.
Sensors
Marina Zapater, César Sánchez, José L. Ayala, José Manuel Moya, José L. Risco-Martín
2011 — conf
RFID Performance in Localization Systems.
IWAAL
Iván Álvarez, Pedro Malagón, Marina Zapater, Juan-Mariano de Goyeneche, José Manuel Moya
2010 — conf
Avoiding Side-Channel Attacks in Embedded Systems with Non-deterministic Branches.
IWIA
Pedro Malagón, Juan-Mariano de Goyeneche, Marina Zapater, José Manuel Moya
2010 — conf
Combined Dynamic-Static Approach for Thermal-Awareness in Heterogeneous Data Centers.
IWIA
Marina Zapater, José L. Risco-Martín, Zorana Bankovic, José Luis Ayala, José Manuel Moya