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Marina Zapater
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2020 – today
- 2024
- [j33]Qunyou Liu
, Darong Huang
Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads. ACM Trans. Archit. Code Optim. 21(3): 50:1-50:23 (2024) - [j32]Darong Huang
CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds. IEEE Trans. Sustain. Comput. 9(4): 661-676 (2024) - [c47]Guillaume Chacun
DroneBandit: Multi-armed contextual bandits for collaborative edge-to-cloud inference in resource-constrained nanodrones. ACM Great Lakes Symposium on VLSI 2024: 98-104 - [c46]Anna Burdina
Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. ISLPED 2024: 1-6 - [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) - [i8]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 abs/2402.05483 (2024) - [i7]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 abs/2407.00001 (2024) - 2023
- [j31]Joshua Klein
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
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
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30(4): 162-169 (2023) - [c45]Rafael Medina
System-Level Exploration of In-Package Wireless Communication for Multi-Chiplet Platforms. ASP-DAC 2023: 561-566 - [c44]Rafael Medina
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
- [j28]Juan Carlos Salinas-Hilburg
Energy-aware task scheduling in data centers using an application signature. Comput. Electr. Eng. 97: 107630 (2022) - [j27]Darong Huang
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
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
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
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
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
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures. LASCAS 2022: 1-4 - [p1]Marco Aldinucci, David Atienza, Federico Bolelli
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) - [i4]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 abs/2211.06329 (2022) - 2021
- [j22]Valentin Gabeff
Interpreting deep learning models for epileptic seizure detection on EEG signals. Artif. Intell. Medicine 117: 102084 (2021) - [j21]Ramon Canal
Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives. ACM Comput. Surv. 53(5): 95:1-95:32 (2021) - [j20]Juan Carlos Salinas-Hilburg, Marina Zapater, José Manuel Moya
Fast energy estimation framework for long-running applications. Future Gener. Comput. Syst. 115: 20-33 (2021) - [j19]Yasir Mahmood Qureshi
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
Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures. IEEE Trans. Computers 70(12): 2218-2233 (2021) - [j17]Ali Pahlevan
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
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF 2021: 191-193 - [c40]William Andrew Simon, Valérian Ray
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
The RECIPE approach to challenges in deeply heterogeneous high performance systems. Microprocess. Microsystems 77: 103185 (2020) - [j15]William Andrew Simon
BLADE: An in-Cache Computing Architecture for Edge Devices. IEEE Trans. Computers 69(9): 1349-1363 (2020) - [j14]Luis Costero
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
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
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)
2010 – 2019
- 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
MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding. DATE 2019: 558-563 - [c32]Giovanni Agosta, William Fornaciari
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 - [c30]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: 1-6 - [c29]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: 1-12 - [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
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
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
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
- [j13]Josué Pagán
Power transmission and workload balancing policies in eHealth mobile cloud computing scenarios. Future Gener. Comput. Syst. 78: 587-601 (2018) - [j12]Artem Aleksandrovich Andreev
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
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
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) - [c22]Juan Carlos Salinas-Hilburg, Marina Zapater
Fast Energy Estimation Through Partial Execution of HPC Applications. ASAP 2018: 1-8 - [c21]Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater
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
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
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
Reliable power and time-constraints-aware predictive management of heterogeneous exascale systems. SAMOS 2018: 187-194 - 2017
- [j9]José L. Risco-Martín, Saurabh Mittal
Reconsidering the performance of DEVS modeling and simulation environments using the DEVStone benchmark. Simul. 93(6): 459-476 (2017) - [c16]Arman Iranfar, Marina Zapater
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
MANGO: Exploring Manycore Architectures for Next-GeneratiOn HPC Systems. DSD 2017: 478-485 - [c14]Arman Iranfar, Federico Terraneo
Thermal characterization of next-generation workloads on heterogeneous MPSoCs. SAMOS 2017: 286-291 - [c13]Ignacio Penas, Marina Zapater, José L. Risco-Martín, José L. Ayala:
SFIDE: a simulation infrastructure for data centers. SummerSim 2017: 34:1-34:12 - 2016
- [j8]Marina Zapater
Runtime data center temperature prediction using Grammatical Evolution techniques. Appl. Soft Comput. 49: 94-107 (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 - [c11]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: 1345-1350 - 2015
- [j7]Patricia Arroba
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. J. Grid Comput. 13(3): 409-423 (2015) - [j6]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): 495-505 (2015) - [j5]Alfredo Cuesta-Infante
Comparative study of meta-heuristic 3D floorplanning algorithms. Neurocomputing 150: 67-81 (2015) - [j4]Marina Zapater
Leakage-Aware Cooling Management for Improving Server Energy Efficiency. IEEE Trans. Parallel Distributed Syst. 26(10): 2764-2777 (2015) - [c10]Ignacio Aransay, Marina Zapater
A Trust and Reputation System for Energy Optimization in Cloud Data Centers. CLOUD 2015: 138-145 - [c9]Juan C. Salinas Hilburg, Marina Zapater
Using Grammatical Evolution Techniques to Model the Dynamic Power Consumption of Enterprise Servers. CISIS 2015: 110-117 - [c8]Marco D. Santambrogio, José L. Ayala, Simone Campanoni, Riccardo Cattaneo
Power-awareness and smart-resource management in embedded computing systems. CODES+ISSS 2015: 94-103 - [c7]Marina Zapater
Dynamic workload and cooling management in high-efficiency data centers. IGSC 2015: 1-8 - 2014
- [j3]Marina Zapater
A novel energy-driven computing paradigm for e-health scenarios. Future Gener. Comput. Syst. 34: 138-154 (2014) - 2013
- [c6]Marina Zapater
Leakage and temperature aware server control for improving energy efficiency in data centers. DATE 2013: 266-269 - 2012
- [j2]Pedro Malagón, Juan-Mariano de Goyeneche, Marina Zapater
Compiler Optimizations as a Countermeasure against Side-Channel Analysis in MSP430-Based Devices. Sensors 12(6): 7994-8012 (2012) - [j1]Marina Zapater
Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors 12(8): 10659-10677 (2012) - [c5]Marina Zapater
Leveraging Heterogeneity for Energy Minimization in Data Centers. CCGRID 2012: 752-757 - [c4]Marina Zapater
GreenDisc: A HW/SW Energy Optimization Framework in Globally Distributed Computation. UCAmI 2012: 1-8 - 2011
- [c3]Iván Álvarez, Pedro Malagón, Marina Zapater
RFID Performance in Localization Systems. IWAAL 2011: 73-78 - 2010
- [c2]Pedro Malagón, Juan-Mariano de Goyeneche, Marina Zapater
Avoiding Side-Channel Attacks in Embedded Systems with Non-deterministic Branches. IWIA 2010: 68-74 - [c1]Marina Zapater
Combined Dynamic-Static Approach for Thermal-Awareness in Heterogeneous Data Centers. IWIA 2010: 75-82
Coauthor Index
David Atienza
aka: David Atienza Alonso
aka: David Atienza Alonso
[j33] [j32] [c46] [i9] [j31] [j30] [j29] [c45] [c44] [i6] [j27] [j26] [j25] [j24] [j23] [c43] [c42] [p1] [i5] [j22] [j21] [j19] [j18] [j17] [c41] [c40] [i3] [j16] [j15] [j14] [c39] [c38] [c37] [c36] [i2] [i1] [c35] [c34] [c33] [c32] [c31] [c28] [c27] [c26] [c25] [c24] [c23] [j12] [j11] [j10] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c12]
José Luis Ayala
aka: José L. Ayala
aka: José L. Ayala
José Luis Risco-Martín
aka: José L. Risco-Martín
aka: José L. Risco-Martín
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last updated on 2024-11-19 20:46 CET by the dblp team
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