Exploració per autor "Giménez, Judit"

Ara es mostren els items 1-4 de 4

    • Simulating whole supercomputer applications 

      Gonzalez, Juan; Casas, Marc; Moretó Planas, Miquel; Giménez, Judit; Labarta Mancho, Jesús José; Valero Cortés, Mateo (2009)
      Report de recerca
      Accés obert
      Architecture simulation tools are extremely useful not only to predict the performance of future system designs, but also to analyze and improve the performance of software running on well know architectures. However, since ...

    • The secrets of the accelerators unveiled: tracing heterogeneous executions through OMPT 

      Llort, German; Filgueras Izquierdo, Antonio; Jiménez-González, Daniel; Servat, Harald; Teruel, Xavier; Mercadal, Estanislao; Álvarez, Carlos; Giménez, Judit; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Springer, 2016)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Heterogeneous systems are an important trend in the future of supercomputers, yet they can be hard to program and developers still lack powerful tools to gain understanding about how well their accelerated codes perform ...

    • Understanding memory access patterns using the BSC performance tools 

      Servat, Harald; Labarta Mancho, Jesús José; Hoppe, Hans-Christian; Giménez, Judit; Peña, Antonio J. (Elsevier, 2018-10)
      Article
      Accés obert
      The growing gap between processor and memory speeds has lead to complex memory hierarchies as processors evolve to mitigate such divergence by exploiting the locality of reference. In this direction, the BSC performance ...

    • Unsupervised feature selection for noisy data 

      Mahdavi, Kaveh; Labarta Mancho, Jesús José; Giménez, Judit (Springer, 2019)
      Text en actes de congrés
      Accés obert
      Feature selection techniques are enormously applied in a variety of data analysis tasks in order to reduce the dimensionality. According to the type of learning, feature selection algorithms are categorized to: supervised ...