Envíos recientes

  • Reducing cache coherence traffic with a NUMA-aware runtime approach 

    Caheny, Paul; Alvarez, Lluc; Derradji, Said; Valero Cortés, Mateo; Moreto Planas, Miquel; Casas Guix, Marc (2018-05)
    Artículo
    Acceso abierto
    Cache Coherent NUMA (ccNUMA) architectures are a widespread paradigm due to the benefits they provide for scaling core count and memory capacity. Also, the flat memory address space they offer considerably improves ...
  • Vector processing-aware advanced clock-gating techniques for low-power fused multiply-add 

    Ratkovic, Ivan; Palomar Pérez, Óscar; Stanic, Milan; Unsal, Osman Sabri; Cristal Kestelman, Adrián; Valero Cortés, Mateo (2018-04-04)
    Artículo
    Acceso abierto
    The need for power efficiency is driving a rethink of design decisions in processor architectures. While vector processors succeeded in the high-performance market in the past, they need a retailoring for the mobile market ...
  • A proposal to develop and assess professional skills in Engineering Final Year Projects 

    Sánchez Carracedo, Fermín; Climent Vilaró, Joan; Corbalán González, Julita; Fonseca Casas, Pau; García Almiñana, Jordi; Herrero Zaragoza, José Ramón; Rodríguez Hontoria, Horacio; Sancho Samsó, María Ribera (Tempus Publications, 2018-03)
    Artículo
    Acceso restringido por política de la editorial
    In this paper we discuss the result of piloting a methodology for Engineering Final Year Projects (FYP) assessment that takes into consideration professional skills acquisition. The FYP is structured around three milestones; ...
  • On the behavior of convolutional nets for feature extraction 

    Garcia-Gasulla, Dario; Pares, Ferran; Vilalta, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (2018-03)
    Artículo
    Acceso abierto
    Deep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive ...
  • Las mentiras del EEES 

    Sánchez Carracedo, Fermín (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018-01)
    Artículo
    Acceso abierto
    En este artículo se presenta el punto de vista del autor sobre cómo se han implantado los planes de estudio del EEES en España y algunas de las cosas que, en su opinión, no se han hecho bien. El EEES despertó muchas ...
  • A path-level exact parallelization strategy for sequential simulation 

    Peredo, Oscar; Baeza, Daniel; Ortiz, Julian; Herrero Zaragoza, José Ramón (2018-01-01)
    Artículo
    Acceso restringido por política de la editorial
    Sequential Simulation is a well known method in geostatistical modelling. Following the Bayesian approach for simulation of conditionally dependent random events, Sequential Indicator Simulation (SIS) method draws simulated ...
  • Analyzing the impact of communication imbalance in high-speed networks 

    Utrera Iglesias, Gladys Miriam; Gil, Marisa; Martorell Bofill, Xavier (2017-12-21)
    Artículo
    Acceso restringido por política de la editorial
    In this work we analyze the communication load imbalance generated by irregular-data applications running in a multi-node cluster. Experimental approaches to diminish communication load imbalance are evaluated using a ...
  • El proyecto EDINSOST: inclusión de los ODS en la educación superior 

    Sánchez Carracedo, Fermín; Segalàs Coral, Jorge; Cabré Garcia, José M.; Climent Vilaró, Joan; López Álvarez, David; Martín Escofet, Carme; Vidal López, Eva María (2017-11)
    Artículo
    Acceso abierto
    En este artículo se presenta el primer resultado del proyecto EDINSOST: un mapa de la competencia Sostenibilidad para el Grado de Ingeniería Informática, fácilmente adaptable a cualquier titulación de Grado en Ingeniería ...
  • LightDock: a new multi-scale approach to protein-protein docking 

    Jimenez Garcia, Brian; Roel Touris, Jorge; Romero Durana, Miguel; Vidal Espinar, Miquel; Jiménez González, Daniel; Fernández Recio, Juan (2018-01)
    Artículo
    Acceso restringido por política de la editorial
    Motivation: Computational prediction of protein-protein complex structure by docking can provide structural and mechanistic insights for protein interactions of biomedical interest. However, current methods struggle with ...
  • Automatic generation of workload profiles using unsupervised learning pipelines 

    Buchaca Prats, David; Bernal García, Josep Lluis; Carrera Pérez, David (2017-12-27)
    Artículo
    Acceso abierto
    The complexity of resource usage and power consumption on cloud-based applications makes the understanding of application behavior through expert examination difficult. The difficulty increases when applications are seen ...
  • A scalable synthetic traffic model of Graph500 for computer networks analysis 

    Fuentes Sáez, Pablo; Benito, Mariano; Vallejo, Enrique; Bosque Orero, José Luis; Beivide Palacio, Ramon; Anghel, Andreea; Rodríguez Herrera, Germán; Gusat, Mitch; Minkenberg, Cyriel; Valero Cortés, Mateo (2017-12-25)
    Artículo
    Acceso restringido por política de la editorial
    The Graph500 benchmark attempts to steer the design of High-Performance Computing systems to maximize the performance under memory-constricted application workloads. A realistic simulation of such benchmarks for architectural ...
  • A fault-tolerant algorithm for distributed resource allocation 

    Pessolani, Pablo; Jara, Oscar; Gonnet, Silvio; Cortés, Toni; Tinetti, Fernando (2017-11-01)
    Artículo
    Acceso abierto
    Resource allocation is a usual problem that must be faced during a distributed system design. Despite the large number of algorithms proposed in literature to solve this problem, most papers lack of detailed descriptions ...

Muestra más