Enviaments recents

  • Energy Efficient Ethernet on MapReduce Clusters: Packet Coalescing To Improve 10GbE Links 

    Fischer e Silva, Renan; Carpenter, Paul M. (IEEE, 2017-10)
    Article
    Accés obert
    An important challenge of modern data centers is to reduce energy consumption, of which a substantial proportion is due to the network. Switches and NICs supporting the recent energy efficient Ethernet (EEE) standard are ...
  • Code modernization strategies to 3-D Stencil-based applications on Intel Xeon Phi: KNC and KNL 

    Cebrián, Juan M.; Cecilia, José M.; Hernández, Mario; García, José M. (Elsevier, 2017-11-15)
    Article
    Accés restringit per política de l'editorial
    Partial Differential Equations (PDEs) are widely used to simulate many scenarios in science and engineering, usually solved through iterative techniques (e.g., Jacobi, Gauss–Seidel). These methods produce an approximate ...
  • PaaS-IaaS inter-layer adaptation in an energy-aware cloud environment 

    Djemame, Karim; Bosch, Raimon; Kavanagh, Richard; Alvarez, Pol; Ejarque, Jorge; Guitart Fernández, Jordi; Blasi, Lorenzo (Institute of Electrical and Electronics Engineers (IEEE), 2017-06)
    Article
    Accés obert
    Cloud computing providers resort to a variety of techniques to improve energy consumption at each level of the cloud computing stack. Most of these techniques consider resource-level energy optimization at IaaS layer. This ...
  • Dynamic energy-aware scheduling for parallel task-based application in cloud computing 

    Juarez, Fredy; Ejarque, Jorge; Badia, Rosa M. (Elsevier, 2018-01)
    Article
    Accés obert
    Green Computing is a recent trend in computer science, which tries to reduce the energy consumption and carbon footprint produced by computers on distributed platforms such as clusters, grids, and clouds. Traditional ...
  • Dataclay: A distributed data store for effective inter-player data sharing 

    Marti Fraiz, Jonathan; Queralt Calafat, Anna; Gasull Moreira, Daniel; Barceló Cuerda, Alex; Costa Prats, Juan José; Cortés, Toni (2017-09-01)
    Article
    Accés restringit per política de l'editorial
    In the Big Data era, both the academic community and industry agree that a crucial point to obtain the maximum benefits from the explosive data growth is integrating information from different sources, and also combining ...
  • Prediction of the impact of network switch utilization on application performance via active measurement 

    Casas, Marc; Bronevetsky, Greg (Elsevier, 2017-09)
    Article
    Accés restringit per política de l'editorial
    Although one of the key characteristics of High Performance Computing (HPC) infrastructures are their fast interconnecting networks, the increasingly large computational capacity of HPC nodes and the subsequent growth of ...
  • The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems 

    Dongarra, Jack; Hammarling, Sven; Higham, Nicholas J.; Relton, Samuel D.; Valero-Lara, Pedro; Zounon, Mawussi (Elsevier, 2017)
    Article
    Accés obert
    A current trend in high-performance computing is to decompose a large linear algebra problem into batches containing thousands of smaller problems, that can be solved independently, before collating the results. To standardize ...
  • Disaggregated Computing. An Evaluation of Current Trends for Datacentres 

    Meyer, Hugo; Sancho, Jose C.; Quiroga, Josue V.; Zyulkyarov, Ferad; Roca, Damian; Nemirovsky, Mario (Elsevier, 2017)
    Article
    Accés obert
    Next generation data centers will likely be based on the emerging paradigm of disaggregated function-blocks-as-a-unit departing from the current state of mainboard-as-a-unit. Multiple functional blocks or bricks such as ...
  • Towards HPC-Embedded. Case Study: Kalray and Message-Passing on NoC 

    Valero-Lara, Pedro; Krishnasamy, Ezhilmathi; Jansson, Johan (Universitatea de Vest, 2017-06)
    Article
    Accés obert
    Today one of the most important challenges in HPC is the development of computers with a low power consumption. In this context, recently, new embedded many-core systems have emerged. One of them is Kalray. Unlike other ...
  • Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation 

    Abella, Jaume; Padilla, Maria; del Castillo, Joan; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2017-07)
    Article
    Accés obert
    Extreme Value Theory (EVT) has been historically used in domains such as finance and hydrology to model worst-case events (e.g., major stock market incidences). EVT takes as input a sample of the distribution of the variable ...

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