• Analysis of source separation algorithms in industrial acoustic environments 

      Lozano, Clevis; Gómez, Andrés; Chacón-Rodríguez, Alfonso; Merchán, Fernando; Julián, Pedro (Institute of Electrical and Electronics Engineers Inc., 2015)
      This paper shows the results from the computation cost evaluation of three blind source separation algorithms. The algorithms tested were: FastICA, Adaptive Algorithm Based on Natural Gradient, and Adaptive EASI Based on ...
    • Arquitectura de Alta Disponibilidad en DSpace: Repositorio TEC 

      Alpizar-Chacón, Isaac; Meneses-Guillén, Laura (Instituto Tecnológico de Costa Rica, 2015)
      En la actualidad, el acceso rápido, seguro y eficiente a la información es un aspecto muy importante para todos los usuarios. Un repositorio institucional que no garantiza el acceso a su contenido de forma eficiente y ...
    • Camel: collective-aware message logging 

      Kalé, Laxmikant; Meneses-Rojas, Esteban (Kluwer Academic Publishers, 2015-03)
      The continuous progress in the performance of supercomputers has made possible the understanding of many fundamental problems in science. Simulation, the third scientific pillar, constantly demands more powerful machines ...
    • Design of an IDM-based determinant computing unit for a 130nm low power CMOS ASIC acoustic localization processor 

      Cerdas-Robles, Roberto; Rodríguez, Agustín; Julián, Pedro; Chacón-Rodríguez, Alfonso (Institute of Electrical and Electronics Engineers Inc., 2015-09)
      A determinant computing circuit in floating point format has been designed and tested for use in a CMOS ASIC acoustic localization processor. The Internal Division Method (IDM) was used to implement the operation, employing ...
    • Using migratable objects to enhance fault tolerance schemes in supercomputers 

      Mendes, Celso; Meneses-Rojas, Esteban; Xiang, Ni; Gengbin, Zheng (IEEE Computer Society, 2015-07)
      Supercomputers have seen an exponential increase in their size in the last two decades. Such a high growth rate is expected to take us to exascale in the timeframe 2018-2022. But, to bring a productive exascale environment ...