Enviaments recents

  • DTM-NUCA: dynamic texture mapping-NUCA for energy-efficient graphics rendering 

    Corbalán Navarro, David; Aragón, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Text en actes de congrés
    Accés obert
    Modern mobile GPUs integrate an increasing number of shader cores to speedup the execution of graphics workloads. Each core integrates a private Texture Cache to apply texturing effects on objects, which is backed-up by a ...
  • TCOR: a tile cache with optimal replacement 

    Joseph, Diya; Aragón, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Text en actes de congrés
    Accés obert
    Cache Replacement Policies are known to have an important impact on hit rates. The OPT replacement policy [27] has been formally proven as optimal for minimizing misses. Due to its need to look far ahead for future memory ...
  • Improving the energy efficiency of the graphics pipeline by reducing overshading 

    Corbalán Navarro, David; Aragón, Juan Luis; Anglada Sánchez, Martí; de Lucas Casamayor, Enrique; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (2021)
    Text en actes de congrés
    Accés obert
    The most common task of GPUs is to render images in real time. When rendering a 3D scene, a key step is determining which parts of every object are visible in the final image. There are different approaches to solve the ...
  • A low-power hardware accelerator for ORB feature extraction in self-driving cars 

    Taranco Serna, Raúl; Arnau Montañés, José María; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Text en actes de congrés
    Accés obert
    Simultaneous Localization And Mapping (SLAM) is a key component for autonomous navigation. SLAM consists of building and creating a map of an unknown environment while keeping track of the exploring agent's location within ...
  • Boosting LSTM performance through dynamic precision selection 

    Silfa Feliz, Franyell Antonio; Arnau Montañés, José María; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Text en actes de congrés
    Accés obert
    The use of low numerical precision is a fundamental optimization included in modern accelerators for Deep Neural Networks (DNNs). The number of bits of the numerical representation is set to the minimum precision that is ...
  • Demystifying power and performance bottlenecks in autonomous driving systems 

    Exenberger Becker, Pedro Henrique; Arnau Montañés, José María; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Text en actes de congrés
    Accés obert
    Autonomous Vehicles (AVs) have the potential to radically change the automotive industry. However, computing solutions for AVs have to meet severe performance and power constraints to guarantee a safe driving experience. ...
  • DRAM errors in the field: a statistical approach 

    Živanovič, Darko; Esmaili Dokht, Pouya; Moré, Sergi; Bartolomé, Javier; Carpenter, Paul Matthew; Radojković, Petar; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2019)
    Text en actes de congrés
    Accés obert
    This paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ...
  • Neuron-level fuzzy memoization in RNNs 

    Silfa Feliz, Franyell Antonio; Dot Artigas, Gem; Arnau Montañés, José María; González Colás, Antonio María (Association for Computing Machinery (ACM), 2019)
    Text en actes de congrés
    Accés obert
    Recurrent Neural Networks (RNNs) are a key technology for applications such as automatic speech recognition or machine translation. Unlike conventional feed-forward DNNs, RNNs remember past information to improve the ...
  • Leveraging run-time feedback for efficient ASR acceleration 

    Yazdani, Reza; Arnau Montañés, José María; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Text en actes de congrés
    Accés obert
    In this work, we propose Locality-AWare-Scheme (LAWS) for an Automatic Speech Recognition (ASR) accelerator in order to significantly reduce its energy consumption and memory requirements, by leveraging the locality among ...
  • SCU: a GPU stream compaction unit for graph processing 

    Segura Salvador, Albert; Arnau Montañés, José María; González Colás, Antonio María (Association for Computing Machinery (ACM), 2019)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Graph processing algorithms are key in many emerging applications in areas such as machine learning and data analytics. Although the processing of large scale graphs exhibits a high degree of parallelism, the memory access ...
  • Rendering elimination: early discard of redundant tiles in the graphics pipeline 

    Anglada Sánchez, Martí; de Lucas Casamayor, Enrique; Parcerisa Bundó, Joan Manuel; Aragón, Juan Luis; Marcuello Pascual, Pedro; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    GPUs are one of the most energy-consuming components for real-time rendering applications, since a large number of fragment shading computations and memory accesses are involved. Main memory bandwidth is especially taxing ...
  • Early visibility resolution for removing ineffectual computations in the graphics pipeline 

    Anglada Sánchez, Martí; de Lucas Casamayor, Enrique; Parcerisa Bundó, Joan Manuel; Aragón Alcaraz, Juan Luis; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    GPUs' main workload is real-time image rendering. These applications take a description of a (animated) scene and produce the corresponding image(s). An image is rendered by computing the colors of all its pixels. It is ...

Mostra'n més