Ara es mostren els items 1-17 de 17

    • A generic performance analysis technique applied to different CFD methods for HPC 

      Garcia Gasulla, Marta; Banchelli Gracia, Fabio; Peiró Conde, Kilian; Ramírez Gargallo, Guillem; Houzeaux, Guillaume; Hassan Saïdi, Ismaïl Ben; Tenaud, Christian; Spisso, Ivan; Mantovani, Filippo (Taylor & Francis, 2020-07-16)
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      For complex engineering and scientific applications, Computational Fluid Dynamics (CFD) simulations require a huge amount of computational power. As such, it is of paramount importance to carefully assess the performance ...
    • Benchmarking of state-of-the-art HPC clusters with a production CFD code 

      Banchelli Gracia, Fabio; Garcia Gasulla, Marta; Houzeaux, Guillaume; Mantovani, Filippo (Association for Computing Machinery (ACM), 2020)
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      Computing technologies populating high-performance computing (HPC) clusters are getting more and more diverse, offering a wide range of architectural features. As a consequence, efficient programming of such platforms ...
    • 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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    • CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs 

      Criado, Joel; Garcia Gasulla, Marta; Kumbhar, Pramod; Awile, Omar; Magkanaris, Ioannis; Mantovani, Filippo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Comunicació de congrés
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      The simulation of detailed neuronal circuits is based on computationally expensive software simulations and requires access to a large computing cluster. The appearance of new Instruction Set Architectures (ISAs) in most ...
    • 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 ...
    • DROM: Enabling Efficient and Effortless Malleability for Resource Managers 

      D'Amico, Marco; Garcia Gasulla, Marta; López, Victor; Jokanovic, Ana; Sirvent, Raül; Corbalán González, Julita (Association for Computing Machinery (ACM), 2018-08-13)
      Comunicació de congrés
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      In the design of future HPC systems, research in resource management is showing an increasing interest in a more dynamic control of the available resources. It has been proven that enabling the jobs to change the number ...
    • Dynamic load balancing for hybrid applications 

      Garcia Gasulla, Marta; Corbalán González, Julita; Labarta Mancho, Jesús José (Barcelona Supercomputing Center, 2015-05-05)
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      DLB relies on the usage of hybrid programming models and exploits the malleability of the second level of parallelism to redistribute computation power across processes.
    • Dynamic load balancing for hybrid applications 

      Garcia Gasulla, Marta (Universitat Politècnica de Catalunya, 2017-04-18)
      Tesi
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      It is well known that load imbalance is a major source of efficiency loss in HPC (High Performance Computing) environments. The load imbalance problem has very different sources, from static ones related to the data ...
    • Fluid-structure interaction based on HPC multicode coupling 

      Cajas García, Juan Carlos; Houzeaux, Guillaume; Vázquez, Mariano; Garcia Gasulla, Marta; Casoni Rero, Eva; Calmet, Hadrien; Artigues, Antoni; Borrell Pol, Ricard; Lehmkuhl Barba, Oriol; Pastrana Maldonado, Daniel; Yáñez, David; Pons, Ramon; Martorell Lopez, Jordi (2018)
      Article
      Accés restringit per política de l'editorial
      The fluid-structure interaction (FSI) problem has received great attention in the last few years, mainly because it is present in many physical systems, industrial applications, and almost every biological system. In the ...
    • GOPHER, an HPC framework for large scale graph exploration and inference 

      Josep Fabregó, Marc; Teruel García, Xavier; Giménez Ábalos, Víctor; Cirilo, Davide; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Valencia, Alfonso (Springer, 2020)
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      Biological ontologies, such as the Human Phenotype Ontology (HPO) and the Gene Ontology (GO), are extensively used in biomedical research to investigate the complex relationship that exists between the phenome and the ...
    • Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics 

      Borrell, Ricard; Dosimont, Damien; Garcia Gasulla, Marta; Houzeaux, Guillaume; Lehmkuhl Barba, Oriol; Mehta, Vishal; Owen, Herbert; Vázquez, Mariano; Oyarzun Altamirano, Guillermo (Elsevier, 2020-06)
      Article
      Accés restringit per política de l'editorial
      High fidelity Computational Fluid Dynamics simulations are generally associated with large computing requirements, which are progressively acute with each new generation of supercomputers. However, significant research ...
    • Hints to improve automatic load balancing with LeWI for hybrid applications 

      Garcia Gasulla, Marta; Labarta Mancho, Jesús José; Corbalán González, Julita (Elsevier, 2014-09-01)
      Article
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      The DLB (Dynamic Load Balancing) library and LeWl (LEnd When Idle) algorithm provide a runtime solution to deal with the load imbalance of parallel applications independently of the source of imbalance. DLB relies on the ...
    • Optimization of condensed matter physics application with OpenMP tasking model 

      Criado, Joel; Garcia Gasulla, Marta; Labarta Mancho, Jesús José; Chatterjee, Arghya; Hernández, Óscar; Sirvent, Raül; Álvarez, Gonzalo (Springer, 2019)
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      The Density Matrix Renormalization Group (DMRG++) is a condensed matter physics application used to study superconductivity properties of materials. It’s main computations consist of calculating hamiltonian matrix which ...
    • Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU 

      Mantovani, Filippo; Garcia Gasulla, Marta; Gracia, Jose; Stafford, Esteban; Banchelli Gracia, Fabio; Josep Fabregó, Marc; Criado Ledesma, Joel; Nachtmann, Mathias (Elsevier, 2020-11)
      Article
      Accés restringit per política de l'editorial
      In this paper, we analyze the performance and energy consumption of an Arm-based high-performance computing (HPC) system developed within the European project Mont-Blanc 3. This system, called Dibona, has been integrated ...
    • Performance study of HPC applications on an Arm-based cluster using a generic efficiency model 

      Banchelli Gracia, Fabio; Peiró Conde, Kilian; Querol de Porras, Andrea; Ramírez Gargallo, Guillem; Ramírez Miranda, Guillem; Vinyals Ylla-Català, Joan; Vizcaino Serrano, Pablo; Garcia Gasulla, Marta; Mantovani, Filippo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
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      HPC systems and parallel applications are increasing their complexity. Therefore the possibility of easily study and project at large scale the performance of scientific applications is of paramount importance. In this ...
    • Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning 

      Parés Pont, Ferran; Megias Montsesinos, Pedro; García Gasulla, Dario; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2021-03)
      Article
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      One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which ...
    • TALP: A Lightweight Tool to Unveil Parallel Efficiency of Large-scale Executions 

      Lopez, Victor; Ramirez Miranda, Guillem; Garcia Gasulla, Marta (Association for Computing Machinery, 2021)
      Comunicació de congrés
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      This paper presents the design, implementation, and application of TALP, a lightweight, portable, extensible, and scalable tool for online parallel performance measurement. The efficiency metrics reported by TALP allow HPC ...