Exploració per autor "Lordan Gomis, Francesc"Més informació

Ara es mostren els items 1-12 de 12

    • A programming model for hybrid workflows: combining task-based workflows and dataflows all-in-one 

      Ramón Cortés, Cristian; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Elsevier, 2020-12)
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      In the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these simulations are combined with High-Performance Data Analytics (HPDA). ...

    • A survey on the distributed computing stack 

      Ramón Cortés, Cristian; Alvarez Vecino, Pol; Lordan Gomis, Francesc; Álvarez Cid-Fuentes, Javier; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Elsevier, 2021-11)
      Article
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      In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of ...

    • Accelerated execution via eager-release of dependencies in task-based workflows 

      Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Sage, 2021-07-01)
      Article
      Accés obert
      Task-based programming models offer a flexible way to express the unstructured parallelism patterns of nowadays complex applications. This expressive capability is required to achieve maximum possible performance for ...

    • 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 ...

    • Colony: Parallel functions as a service on the cloud-edge continuum 

      Lordan Gomis, Francesc; Lezzi, Daniele; Badia Sala, Rosa Maria (Springer Nature, 2021)
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      Although smart devices markets are increasing their sales figures, their computing capabilities are not sufficient to provide good-enough-quality services. This paper proposes a solution to organize the devices within 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)
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      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 ...

    • Hierarchical management of extreme-scale task-based applications 

      Lordan Gomis, Francesc; Puigdemunt Schmolling, Gabriel; Vergés Boncompte, Pere; Conejero Bañón, Francisco Javier; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Springer Cham, 2023)
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      The scale and heterogeneity of exascale systems increment the complexity of programming applications exploiting them. Task-based approaches with support for nested tasks are a good-fitting model for them because of the ...

    • Performance meets programmabilty: Enabling native Python MPI tasks in PyCOMPSs 

      Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Institute of Electrical and Electronics Engineers (IEEE), 2020)
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      The increasing complexity of modern and future computing systems makes it challenging to develop applications that aim for maximum performance. Hybrid parallel programming models offer new ways to exploit the capabilities ...

    • PyCOMPSs as an instrument for translational computer science 

      Badia Sala, Rosa Maria; Conejero Bañón, Francisco Javier; Ejarque Artigas, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc (2022-03-01)
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      With the advent of distributed computing, the need for frameworks that facilitate its programming and management has also appeared. These tools have typically been used to support the research on application areas that ...

    • RosneT: A block tensor algebra library for out-of-core quantum computing simulation 

      Sánchez Ramírez, Sergio; Conejero Bañón, Francisco Javier; Lordan Gomis, Francesc; Queralt Calafat, Anna; Cortés, Toni; Badia Sala, Rosa Maria; García Sáez, Artur (Institute of Electrical and Electronics Engineers (IEEE), 2021)
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      With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target system Tensor Networks emerge as an optimal ...

    • Task-level checkpointing system for task-based parallel workflows 

      Vergés Boncompte, Pere; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Springer Nature, 2022)
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      Scientific applications are large and complex; task-based programming models are a popular approach to developing these applications due to their ease of programming and ability to handle complex workflows and distribute ...

    • Workflow environments for advanced cyberinfrastructure platforms 

      Badia Sala, Rosa Maria; Ejarque Artigas, Jorge; Lordan Gomis, Francesc; Lezzi, Daniele; Conejero Bañón, Javier; Álvarez Cid-Fuentes, Javier; Becerra Fontal, Yolanda; Queralt Calafat, Anna (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
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      Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that ...