Zobrazeno 1 - 10
of 138
pro vyhledávání: '"ZAPATER, MARINA"'
Publikováno v:
Journal of Grid Computing, 13(3), pp. 409-423, 2014
This work proposes an automatic methodology for modeling complex systems. Our methodology is based on the combination of Grammatical Evolution and classical regression to obtain an optimal set of features that take part of a linear and convex model.
Externí odkaz:
http://arxiv.org/abs/2407.00001
Publikováno v:
SIMULATION, 93(6), 2017
The Discrete Event System Specification formalism (DEVS), which supports hierarchical and modular model composition, has been widely used to understand, analyze and develop a variety of systems. DEVS has been implemented in various languages and plat
Externí odkaz:
http://arxiv.org/abs/2402.05483
Computing servers have played a key role in developing and processing emerging compute-intensive applications in recent years. Consolidating multiple virtual machines (VMs) inside one server to run various applications introduces severe competence fo
Externí odkaz:
http://arxiv.org/abs/2309.16333
Autor:
Zapater, Marina, Risco-Martín, José L., Arroba, Patricia, Ayala, José L., Moya, José M., Hermida, Román
Data Centers are huge power consumers, both because of the energy required for computation and the cooling needed to keep servers below thermal redlining. The most common technique to minimize cooling costs is increasing data room temperature. Howeve
Externí odkaz:
http://arxiv.org/abs/2211.06329
Autor:
Klein, Joshua, Boybat, Irem, Qureshi, Yasir, Dazzi, Martino, Levisse, Alexandre, Ansaloni, Giovanni, Zapater, Marina, Sebastian, Abu, Atienza, David
Analog in-memory computing (AIMC) cores offers significant performance and energy benefits for neural network inference with respect to digital logic (e.g., CPUs). AIMCs accelerate matrix-vector multiplications, which dominate these applications' run
Externí odkaz:
http://arxiv.org/abs/2205.10042
Autor:
Agosta, Giovanni, Fornaciari, William, Atienza, David, Canal, Ramon, Cilardo, Alessandro, Cardo, José Flich, Luz, Carles Hernandez, Kulczewski, Michal, Massari, Giuseppe, Gavilá, Rafael Tornero, Zapater, Marina
Publikováno v:
Microprocessors and Microsystems, Volume 77, 2020
RECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring new High-Performance Computing
Externí odkaz:
http://arxiv.org/abs/2103.03044
Autor:
Gabeff, Valentin, Teijeiro, Tomas, Zapater, Marina, Cammoun, Leila, Rheims, Sylvain, Ryvlin, Philippe, Atienza, David
While Deep Learning (DL) is often considered the state-of-the art for Artificial Intelligence-based medical decision support, it remains sparsely implemented in clinical practice and poorly trusted by clinicians due to insufficient interpretability o
Externí odkaz:
http://arxiv.org/abs/2012.11933
Autor:
Abadal, Sergi, Guirado, Robert, Taghvaee, Hamidreza, Jain, Akshay, de Santana, Elana Pereira, Bolívar, Peter Haring, Saeed, Mohamed, Negra, Renato, Wang, Zhenxing, Wang, Kun-Ta, Lemme, Max C., Klein, Joshua, Zapater, Marina, Levisse, Alexandre, Atienza, David, Rossi, Davide, Conti, Francesco, Dazzi, Martino, Karunaratne, Geethan, Boybat, Irem, Sebastian, Abu
Publikováno v:
IEEE Wireless Communications Magazine, vol. 30, no. 4, pp. 162-169, 2023
The main design principles in computer architecture have recently shifted from a monolithic scaling-driven approach to the development of heterogeneous architectures that tightly co-integrate multiple specialized processor and memory chiplets. In suc
Externí odkaz:
http://arxiv.org/abs/2011.04107
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