Ara es mostren els items 1-11 de 11

    • Automatic, efficient and scalable provenance registration for FAIR HPC workflows 

      Sirvent Pardell, Raül; Conejero Bañón, Francisco Javier; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Rodríguez Navas, Laura; Fernández González, José María; Capella Gutiérrez, Salvador; Badia Sala, Rosa Maria (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      Provenance registration is becoming more and more important, as we increase the size and number of experiments performed using computers. In particular, when provenance is recorded in HPC environments, it must be efficient ...
    • COMP Superscalar, an interoperable programming framework 

      Badia Sala, Rosa Maria; Conejero, Javier; Díaz, Carlos; Ejarque, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Ramón Cortés, Cristian; Sirvent Pardell, Raül (2015-12-01)
      Article
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      COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple programming model based on sequential ...
    • Containers in HPC: a scalability and portability study in production biological simulations 

      Rudyy, Oleksandr; Garcia Gasulla, Marta; Mantovani, Filippo; Santiago, Alfonso; Sirvent Pardell, Raül; Vázquez, Mariano (Barcelona Supercomputing Center, 2019-05-07)
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    • DJSB: Dynamic Job Scheduling Benchmark 

      López Herrero, Víctor; Jokanovic, Ana; D'Amico, Marco; Garcia Gasulla, Marta; Sirvent Pardell, Raül; Corbalán González, Julita (Springer, 2018-02-28)
      Comunicació de congrés
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      High-performance computing (HPC) systems are very big and powerful systems, with the main goal of achieving maximum performance of parallel jobs. Many dynamic factors influence the performance which makes this goal a ...
    • EMOTIVE: the BSC’s engine for cloud solutions 

      Badia Sala, Rosa Maria; Goiri Presa, Íñigo; Guitart Fernández, Jordi; Macías Lloret, Mario; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Ejarque, Jorge; Sirvent Pardell, Raül; Lezzi, Daniele (2009-10-01)
      Article
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      Cloud computing is strongly based on virtualization, allowing applications to be multiplexed onto a physical resource while isolated from other applications sharing that physical resource. This technology simplifies the ...
    • Energy efficiency embedded service lifecycle: Towards an energy efficient cloud computing architecture 

      Djemame, Karim; Armstrong, Django; Kavanagh, Richard; Juan Ferrer, Ana; Garcia Perez, David; Antona, David; Deprez, Jean-Christophe; Ponsard, Christophe; Ortiz, David; Macías Lloret, Mario; Guitart Fernández, Jordi; Lordan Gomis, Francesc-Josep; Ejarque, Jorge; Sirvent Pardell, Raül; Badia Sala, Rosa Maria; Kammer, Michael; Kao, Odej; Agiatzidou, Eleni; Dimakis, Antonis; Courcoubetis, Costas; Blasi, Lorenzo (CEUR-WS.org, 2014)
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      The paper argues the need to provide novel methods and tools to support software developers aiming to optimise energy efficiency and minimise the carbon footprint resulting from designing, developing, deploying and running ...
    • Graph-based task replication for workflow applications 

      Sirvent Pardell, Raül; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2009)
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      The Grid is an heterogeneous and dynamic environment which enables distributed computation. This makes it a technology prone to failures. Some related work uses replication to overcome failures in a set of independent ...
    • GRID superscalar: a programming model for the Grid 

      Sirvent Pardell, Raül (Universitat Politècnica de Catalunya, 2009-02-03)
      Tesi
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      Durant els darrers anys el Grid ha sorgit com una nova plataforma per la computació distribuïda. La tecnologia Gris permet unir diferents recursos de diferents dominis administratius i formar un superordinador virtual amb ...
    • OPTIMIS: A holistic approach to cloud service provisioning 

      Badia Sala, Rosa Maria; Juan, Ana; Hernández, Francisco; Tordsson, Johan; Elmroth, Erik; Ali-Eldin, Ahmed; Zsigri, Csilla; Sirvent Pardell, Raül; Guitart Fernández, Jordi; Wesner, Stefan; Kipp, Alexander; Hudzia, Benoit; Varvarigou, Theodora; Konstanteli, Kleopatra; Kousiouris, George; Nair, Srijith K.; Dimitrakos, Theo; Ziegler, Wolfgang; Djemame, Karim; Corrales, Marcelo; Sheridan, Craig; Forgó, Nikolaus; Sharif, Tabassum (Elsevier Science Direct, 2012-01)
      Article
      Accés restringit per política de l'editorial
      We present fundamental challenges for scalable and dependable service platforms and architectures that enable flexible and dynamic provisioning of cloud services. Our findings are incorporated in a toolkit targeting the ...
    • The OTree: multidimensional indexing with efficient data sampling for HPC 

      Cugnasco, Cesare; Calmet, Hadrien; Santamaria Mateu, Pol; Sirvent Pardell, Raül; Eguzkitza, Ane Beatriz; Houzeaux, Guillaume; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
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      Spatial big data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of petabytes of spatial data per year. ...
    • Variable batched DGEMM 

      Valero-Lara, Pedro; Martinez-Perez, Ivan; Mateo, Sergio; Sirvent Pardell, Raül; Beltran Querol, Vicenç; Martorell Bofill, Xavier; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
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      Many scientific applications are in need to solve a high number of small-size independent problems. These individual problems do not provide enough parallelism and then, these must be computed as a batch. Today, vendors ...