Enviaments recents

  • 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 ...
  • The AXIOM platform for next-generation cyber physical systems 

    Theodoropoulos, Dimitris; Mazumdar, Somnath; Ayguadé Parra, Eduard; Bettin, Nicola; Bueno Hedo, Javier; Ermini, Sara; Filgueras Izquierdo, Antonio; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier; Montefoschi, Francesco; Oro Garcia, David; Pnevmatikatos, Dionisis; Rizzo, Antonio; Gai, Paolo; Garzarella, Stefano; Morelli, Bruno; Pomella, Alberto; Giorgi, Roberto (2017-06-03)
    Article
    Accés restringit per política de l'editorial
    Cyber-Physical Systems (CPSs) are widely used in many applications that require interactions between humans and their physical environment. These systems usually integrate a set of hardware-software components for optimal ...
  • Calibration of LOFAR data on the cloud 

    Sabater, Jose; Sánchez Expósito, Susana; Best, Philip; Garrido, Julián; Verdes-Montenegro, Lourdes; Lezzi, Daniele (Elsevier, 2017-04-01)
    Article
    Accés restringit per política de l'editorial
    New scientific instruments are starting to generate an unprecedented amount of data. The Low Frequency Array (LOFAR), one of the Square Kilometre Array (SKA) pathfinders, is already producing data on a petabyte scale. The ...
  • Adapting TDMA arbitration for measurement-based probabilistic timing analysis 

    Panic, Milos; Abella, Jaume; Quiñones, Eduardo; Hernandez, Carles; Ungerer, Theo; Cazorla, Francisco J. (Elsevier, 2017-07)
    Article
    Accés restringit per política de l'editorial
    Critical Real-Time Embedded Systems require functional and timing validation to prove that they will perform their functionalities correctly and in time. For timing validation, a bound to the Worst-Case Execution Time ...
  • ParaView + Alya + D8tree: Integrating high performance computing and high performance data analytics 

    Artigues, Antoni; Cugnasco, Cesare; Becerra Fontal, Yolanda; Cucchietti, Fernando; Houzeaux, Guillaume; Vázquez, Mariano; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Elsevier, 2017)
    Article
    Accés obert
    Large scale time-dependent particle simulations can generate massive amounts of data, making it so that storing the results is often the slowest phase and the primary time bottleneck of the simulation. Furthermore, analysing ...
  • Workflows for science: a challenge when facing the convergence of HPC and big data 

    Badia Sala, Rosa Maria; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2017)
    Article
    Accés obert
    Workflows have been used traditionally as a mean to describe and implement the computing usually parametric studies and explorations searching for the best solution that scientific researchers want to perform. A workflow ...

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