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    • Efficient and versatile data analytics for deep networks 

      Garcia Gasulla, Dario; Moreno Vázquez, Jonatan; Espinosa-Oviedo, Javier A.; Conejero, Javier; Vargas-Solar, Genoveva; Badia Sala, Rosa Maria; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Barcelona Supercomputing Center, 2015-05-05)
      Text en actes de congrés
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      Deep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in ...

    • Efficient development of high performance data analytics in Python 

      Álvarez Cid-Fuentes, Javier; Alvarez, Pol; Amela Milian, Ramon; Ishii, Kuninori; Morizawa, Rafael K.; Badia Sala, Rosa Maria (Elsevier, 2020-10)
      Article
      Accés obert
      Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed. This also applies to numerous research areas, such as genomics, high energy physics, and astronomy, for which large-scale ...

    • 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
      Accés obert
      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 ...

    • Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence 

      Ejarque Artigas, Jorge; Badia Sala, Rosa Maria; Becerra Fontal, Yolanda; Rodrigo Berlín, Julián; Folch Duran, Arnau; Lordan Gomis, Francesc; Monterrubio Velasco, Marisol; de la Puente, Josep; Queralt Calafat, Anna; Rodríguez Rodríguez, Juan E.; Rossi, Riccardo (Elsevier, 2022-09)
      Article
      Accés restringit per política de l'editorial
      The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The complexity comes not only from the number ...

    • Enabling GPU Support for the COMPSs-Mobile Framework 

      Lordan, Francesc; Badia Sala, Rosa Maria; Hwu, Wen-Mei (Springer, 2018-01-31)
      Comunicació de congrés
      Accés obert
      Using the GPUs embedded in mobile devices allows for increasing the performance of the applications running on them while reducing the energy consumption of their execution. This article presents a task-based solution for ...

    • Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs 

      Amela Milian, Ramon; Ramón Cortés, Cristian; Ejarque, Jorge; Conejero Bañón, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2017-11)
      Comunicació de congrés
      Accés obert
      Python has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming interface, the large number of libraries and modules that have been made available by a large ...

    • Enabling system wide shared memory for performance improvement in PyCOMPSs applications 

      Foyer, Clément; Conejero Bañón, Francisco Javier; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria; Tate, Adrian; McIntosh-Smith, Simon (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
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      Python has been gaining some traction for years in the world of scientific applications. However, the high-level abstraction it provides may not allow the developer to use the machines to their peak performance. To address ...

    • 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 ...

    • Energy efficiency support through intra-layer cloud stack adaptation 

      Djemame, Karim; Kavanagh, Richard; Armstrong, Django; Lordan Gomis, Francesc-Josep; Ejarque, Jorge; Macías Lloret, Mario; Sirvent, Raul; Guitart Fernández, Jordi; Badia Sala, Rosa Maria (Springer, 2016)
      Text en actes de congrés
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      Energy consumption is a key concern in cloud computing. The paper reports on a cloud architecture to support energy efficiency at service construction, deployment, and operation. This is achieved through SaaS, PaaS and ...

    • Energy-aware self-adaptation for application execution on heterogeneous parallel architectures 

      Kavanagh, Richard; Djemame, Karim; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria; Garcia Perez, David (Institute of Electrical and Electronics Engineers (IEEE), 2020-01)
      Article
      Accés obert
      Hardware in High Performance Computing environments in recent years have increasingly become more heterogeneous in order to improve computational performance. An additional aspect of such systems is the management of power ...

    • Enhanced performance using hybrid programming models of task-based workflows and MPI 

      Elshazly, Hatem Mohamed Abdelfattah Eid; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2020-05)
      Text en actes de congrés
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      While MPI [1] + X (where X is another parallel programming model) has been proposed and used by the community, we propose a hybrid programming model that combines taskbased model + MPI. Task-based workflows offer the ...

    • ExaQUte: D1.2 First release of the softwares 

      Tosi, Riccardo; Amela Milian, Ramon; Núñez Corbacho, Marc; Roig Pina, Carlos Alejandro; Badia Sala, Rosa Maria; Rossi, Riccardo (2019-05-30)
      Report de recerca
      Accés obert
      This deliverable presents the software release of the Kratos Multiphysics software [3], ”a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. ...

    • ExaQUte: D1.3 First public release of the solver 

      Ayoul-Guilmard, Quentin; Badia Sala, Rosa Maria; Ejarque, Jorge; Ganesh, Sundar; Nobile, Fabio; Núñez Corbacho, Marc; Soriano Ortiz, Cecilia; Roig Pina, Carlos Alejandro; Rossi, Riccardo; Tosi, Riccardo (2020-05-29)
      Report de recerca
      Accés obert
      This deliverable presents the software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definition [8]. This report is meant to serve as a supplement to the public release of the ...

    • ExaQUte: D1.4 Final public release of the solver 

      Ayoul-Guilmard, Quentin; Ganesh, Sundar; Nobile, Fabio; Badia Sala, Rosa Maria; Ejarque, Jorge; Cirrottola, Luca; Froehly, Algiane; Keith, Brendan; Kodakkal, Anoop; Núñez Corbacho, Marc; Roig Pina, Carlos Alejandro; Rossi, Riccardo; Tosi, Riccardo; Soriano Ortiz, Cecilia (2020-11-30)
      Report de recerca
      Accés obert
      This deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel ...

    • ExaQUte: D4.2 Profiling report of the partner’s tools, complete with performance suggestions 

      Amela Milian, Ramon; Badia Sala, Rosa Maria; Böhm, Stanislav; Tosi, Riccardo; Rossi, Riccardo (2019-05-30)
      Report de recerca
      Accés obert
      This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark ...

    • ExaQUte: D5.2 Release of ExaQUte MLMC Python engine 

      Amela Milian, Ramon; Ayoul-Guilmard, Quentin; Ganesh, Sundar; Tosi, Riccardo; Badia Sala, Rosa Maria; Nobile, Fabio; Rossi, Riccardo (2019-05-30)
      Report de recerca
      Accés obert
      In this deliverable, the ExaQUte xmc library is introduced. This report is meant to serve as a supplement to the publicly release of the library. In the following sections, the ExaQUte xmc library is described along with ...

    • Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs 

      Amela Milian, Ramon; Ramon-cortés Vilarrodona, Cristian; Ejarque, Jorge; Conejero, Javier; Badia Sala, Rosa Maria (EDP Open, 2018-10-24)
      Article
      Accés obert
      Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in ...

    • Exploiting semantics and virtualization for SLA-driven resource allocation in service providers 

      Ejarque, Jorge; Palol, Marc de; Goiri Presa, Íñigo; Julià, Ferran; Guitart Fernández, Jordi; Badia Sala, Rosa Maria; Torres Viñals, Jordi (2010-04-01)
      Article
      Accés restringit per política de l'editorial
      Resource management is a key challenge that service providers must adequately face in order to accomplish their business goals. This paper introduces a framework, the semantically enhanced resource allocator (SERA), aimed ...

    • Extending OpenMP to survive the heterogeneous multi-core era 

      Ayguadé Parra, Eduard; Badia Sala, Rosa Maria; Bellens, Pieter; Cabrera, Daniel; Duran González, Alejandro; Ferrer, Roger; González Tallada, Marc; Igual Peña, Francisco D.; Jiménez González, Daniel; Labarta Mancho, Jesús José; Martinell Andreu, Luis; Martorell Bofill, Xavier; Mayo Gual, Rafael; Pérez Cáncer, Josep Maria; Planas, Judit; Quintana Ortí, Enrique Salvador (2010-10)
      Article
      Accés restringit per política de l'editorial

    • Extending the OpenMP tasking model to allow dependent tasks 

      Duran González, Alejandro; Pérez Cáncer, Josep Maria; Ayguadé Parra, Eduard; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (2008-05)
      Article
      Accés restringit per política de l'editorial
      Tasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelism. New directives have been added allowing the user to identify units of independent work (tasks) and to define points to ...