Ara es mostren els items 1-10 de 10

    • Anàlisi, simulació i rendiment d'unitats funcionals de computació aproximada 

      Gonzalez Melarde, Arturo (Universitat Politècnica de Catalunya, 2020-10-29)
      Treball Final de Grau
      Accés obert
      Actualment, a moltes aplicacions informàtiques es poden fer servir valors aproximats dels càlculs generats per les unitats funcionals per tal d'aconseguir un resultat quasi idèntic pero amb un millor rendiment i que l'usuari ...
    • Approximating a Multi-Grid Solver 

      Le Fèvre, Valentin; Bautista-Gomez, Leonardo; Unsal, Osman; Casas, Marc (IEEE, 2019-02-14)
      Comunicació de congrés
      Accés obert
      Multi-grid methods are numerical algorithms used in parallel and distributed processing. The main idea of multigrid solvers is to speedup the convergence of an iterative method by reducing the problem to a coarser grid a ...
    • ATM: approximate task memoization in the runtime system 

      Brumar, Iulian; Casas, Marc; Moretó Planas, Miquel; Valero Cortés, Mateo; Sohi, Gurindar S. (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés obert
      Redundant computations appear during the execution of real programs. Multiple factors contribute to these unnecessary computations, such as repetitive inputs and patterns, calling functions with the same parameters or bad ...
    • Computing and communications for the software-defined metamaterial paradigm: a context analysis 

      Abadal Cavallé, Sergi; Liaskos, Christos; Tsioliaridou, Ageliki; Ioannidis, Sotiris; Pitsillides, Andreas; Solé Pareta, Josep; Alarcón Gallo, Eduardo; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2017-01-01)
      Article
      Accés obert
      Metamaterials are artificial structures that have recently enabled the realization of novel electromagnetic components with engineered and even unnatural functionalities. Existing metamaterials are specifically designed ...
    • Energy efficient object detection for automotive applications with YOLOv3 and approximate hardware 

      Fornt Mas, Jordi; Fontova Muste, Pau; Caro Roca, Martí; Abella Ferrer, Jaume; Moll Echeto, Francisco de Borja; Altet Sanahujes, Josep; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Text en actes de congrés
      Accés obert
      Deep neural networks are the dominant models for perception tasks in the automotive domain, but their high computational complexity makes it difficult to execute them in real time with an acceptable power consumption on ...
    • ParaDIME: Parallel distributed infrastructure for minimization of energy for data centers 

      Rethinagiri, Santhosh Kumar; Palomar Pérez, Óscar; Sobe, Anita; Yalcin, Gulay; Knauth, Thomas; Titos Gil, Rubén; Prieto, Pablo; Schneegaß, Malte; Cristal Kestelman, Adrián; Unsal, Osman Sabri; Felber, Pascal; Fetzer, Christof; Milojevic, Dragomir (2015-11-01)
      Article
      Accés obert
      Dramatic environmental and economic impact of the ever increasing power and energy consumption of modern computing devices in data centers is now a critical challenge. On the one hand, designers use technology scaling as ...
    • The effects of weight quantization on online federated learning for the IoT: a case study 

      Llisterri Giménez, Nil; Lee, Junkyu; Freitag, Fèlix; Vandierendonck, Hans (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-04)
      Article
      Accés obert
      Many weight quantization approaches were explored to save the communication bandwidth between the clients and the server in federated learning using high-end computing machines. However, there is a lack of weight quantization ...
    • Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms 

      Schade, Robert; Kenter, Tobias; Elgabarty, Hossam; Lass, Michael; Schütt, Ole; Mohr, Stephan (Elsevier, 2022)
      Article
      Accés obert
      We push the boundaries of electronic structure-based ab-initio molecular dynamics (AIMD) beyond 100 million atoms. This scale is otherwise barely reachable with classical force-field methods or novel neural network and ...
    • Two examples of approximate arithmetic to reduce hardware complexity and power consumption 

      Fornt Mas, Jordi; Jin, Leixin; Etxezarreta, Imanol; Fontova, Pau; Altet Sanahujes, Josep; Calomarde Palomino, Antonio; Morancho Llena, Enrique; Moll Echeto, Francisco de Borja; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Comunicació de congrés
      Accés obert
      As the end of Moore's Law approaches, electronic system designers must find ways to keep up with the ever increasing computational demands of the modern era. Some computationally intensive applications, such as multimedia ...
    • Unitats funcionals aproximades per a processadors de baix consum 

      Caro Roca, Martí (Universitat Politécnica de Catalunya, 2020-01)
      Treball Final de Grau
      Accés obert
      Actualment els multiplicadors són una de les unitats funcionals que requereixen més consum d'energia degut al gran nombre de portes lògiques que contenen. Aprofitant el fet que diverses aplicacions poden tolerar un cert ...