• openAccess   A framework for genomic sequencing on clusters of multicore and manycore processors 

      Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Tárraga, Joaquín; Medina, Ignacio; Dopazo, Joaquín; Quintana-Orti, Enrique S. Sage (2016-06)
      The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ...
    • openAccess   Aplicación de técnicas de machine learning para la segmentación turística basada en la sostenibilidad percibida del destino y la satisfacción 

      Vidal-Meliá, Lidia; Moliner, Miguel Angel; Estrada, Marta; Monferrer Tirado, Diego; Quille, Keith Cátedra Fundación Ramón Areces de Distribución Comercial (2023)
      La segmentación es crucial para las estrategias de sostenibilidad y las percepciones de los destinos por parte de los turistas ofrecen importantes crite- rios de segmentación. El objetivo de este artículo es obtener ...
    • closedAccess   Chemoselective Hydrogenation of Nitroarenes Catalyzed by Molybdenum Sulphide Clusters 

      Pedrajas Gual, Elena; Sorribes, Iván; Gushchin, Artem L.; Laricheva, Yuliya A.; Junge, Henrik; Beller, matthias; Llusar, Rosa Wiley (2017-03-20)
      Herein, we describe an atom efficient and general protocol for the chemoselective hydrogenation of nitroarenes to anilines catalyzed by well-defined diimino and diamino cubane-type Mo3S4 clusters. The novel diimino ...
    • openAccess   Cluster and firm-specific antecedents of organizational innovation 

      CAMISON, CESAR; Forés, Beatriz; Boronat-Navarro, Montserrat Taylor and Francis Group (2017)
      Based on the idea of the tourist destination as a cluster, this paper proposes a model to explain the relationships between exploration and exploitation capabilities – whether originating in the cluster or firm-specific – ...
    • openAccess   Formation and dissolution of inter-firm linkages in lengthy and stable networks in clusters 

      Molina-Morales, F. Xavier; Belso Martínez, José Antonio; Mas-Verdú, Francisco; Martínez-Cháfer, Luis Copyright © 2015 Elsevier Inc. All rights reserved. (2015-02)
      Firms aspire to take advantage of technical and business networks through inter- organizational interactions in order to improve performance. Consequently, researchers are increasingly attracted by the dynamics and ...
    • closedAccess   Improving the user experience of the rCUDA remote GPU virtualization framework 

      Reaño, Carlos; Silla, Federico; Castelló, Adrián; Peña Monferrer, Antonio J.; Mayo, Rafael; Quintana-Orti, Enrique S. Wiley (2014-10)
      Graphics processing units (GPUs) are being increasingly embraced by the high-performance computing community as an effective way to reduce execution time by accelerating parts of their applications. remote CUDA (rCUDA) was ...
    • openAccess   The science and technology park phenomenon: where the literature is going? 

      Forés, Beatriz; Fernández-Yáñez, José María Asociación de Jóvenes Investigadores en Ciencias Económicas y Dirección de Empresas (AJICEDE) (2022-12-14)
      Science and technology parks are infrastructures designed to accommodate and stimulate the growth of tenant companies by managing the flow of knowledge and technology between universities, R&D institutions, business and ...
    • openAccess   Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs 

      Barrachina Mir, Sergio; Castelló, Adrián; Catalán Carbó, Mar; Dolz, Manuel F.; Mestre Miravet, Jose Ignacio Springer (2021-08-30)
      In this work, we build a general piece-wise model to analyze data-parallel (DP) training costs of convolutional neural networks (CNNs) on clusters of GPUs. This general model is based on i) multi-layer perceptrons (MLPs) ...