Exploració per tema "Càlcul intensiu (Informàtica)"

Ara es mostren els items 1-20 de 708

    • 1st BSC Doctoral Symposium : book of abstracts 

      Cucchietti, Fernando; Comes, Carles; Badia Moragas, Alba; Cabeza, Israel; Eguzkitza, Beatriz; Gifre Renom, Lluís; González, Santiago; Guevara Vilardell, Marc; Hernández, Roger; Hussain, Tassadaq; Jiménez, Brian; Liu, Qixiao; Moal, Iain; Obiso, Vincenzo; Palavedu, Karthikeyan; Panic, Milos; Rajovic, Nikola; Royuela, Sara; Scaini, Chiara; Soret, Albert; Stipić, Srđjan; Strassburg, Janko; Valverde, Víctor; Villalba, Álvaro (Barcelona Supercomputing Center, 2014-05-26)
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    • 2013-2014 Severo Ochoa : Research Seminar Lectures at BSC : book of abstracts 

      Vázquez, Mariano; Goñi Macià, Ramon; Arís, Ruth; Jorba Casellas, Oriol; Schutgens, Nick; Kranzlmüller, Dieter; Schulz, Martin; Shi, Yong; Strassburg, Janko; Faraboschi, Paolo; Aguado Sierra, Jazmín; Saen-Oon, Suwipa; Walker, Ross C.; Cetto, Raul; Suzumura, Toyotaro; Di Tomaso, Enza; Patt, Yale; Zoppè, Monica; Jeannot, Emmanel; Klasky, Scott A. (Barcelona Super Computer Center. Education & Training team, 2014-08-05)
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    • 3D lineage-specific genome architecture links regulatory elements and non-coding disease variants to target gene promoters 

      Javierre, Biola M. (Barcelona Supercomputing Center, 2018)
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    • 3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms 

      Castillo Reyes, Octavio; Modesto Galende, David; Queralt Capdevila, Pilar; Marcuello Pascual, Alex; Ledo Fernández, Juan José; Amor Martín, Adrián; de la Puente, Josep; García-Castillo, Luis Emilio (2022-03)
      Article
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      We present a routine for 3D magnetotelluric (MT) modeling based upon high-order edge finite element method (HEFEM), tailored and unstructured tetrahedral meshes, and high-performance computing (HPC). This imple- mentation ...

    • A 3D-1D cardiac-vascular computational feedbacked model 

      Santiago, Alfonso; Vázquez, Mariano; Houzeaux, Guillaume; Aguado-Sierra, Jazmin; López, Mariña; Rivero, Matías I.; Blanco Sánchez, Pablo; Watanabe, Sansuke (Barcelona Supercomputing Center, 2015-05-05)
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      A first version of a cardiovascular coupled model is presented. The modelling tools are Alya, the BSC tool for biomechanical simulations; and ADAN55, the LNCC model of the arterial blood flow. The former solves the ...

    • A case for code-representative microbenchmarks 

      Bulla, Calvin; Moretó Planas, Miquel (Barcelona Supercomputing Center, 2017-05-04)
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      Microbenchmarks are fundamental in the design of a microarchitecture. They allow rapid evaluation of the system, while incurring little exploration overhead. One key design aspect is the thermal design point (TDP), the ...

    • A compromise archive platform for monitoring infrastructures 

      García Calatrava, Carlos; Cucchietti, Fernando; Becerra Fontal, Yolanda (Barcelona Supercomputing Center, 2020-05)
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      The great advancement in the technological field has led to an explosion in the amount of generated data. Many different sectors have understood the opportunity that acquiring, storing, and analyzing further information ...

    • A data flow language to develop high performance computing DSLs 

      Fernandez, Alejandro; Berltran, Vicenç; Mateo, Sergi; Patejko, Thomas; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2014)
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      Developing complex scientific applications on high performance systems requires both domain knowledge and expertise in parallel and distributed programming models. In addition, modern high performance systems are heterogeneous, ...

    • A directive-based approach to perform persistent checkpoint/restart 

      Maroñas, Marcos; Mateo, Sergi; Beltran Querol, Vicenç; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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      Exascale platforms require support for resilience capabilities due to increasing numbers of components and associated error rates. In this paper, we present a new directive-based approach to perform application-level ...

    • A Docker-based federated learning framework design and deployment for multi-modal data stream classification 

      Arijit, Nandi; Xhafa Xhafa, Fatos; Kumar, Rohit (2023-05-11)
      Article
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      In the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ...

    • A dynamic scheduler for balancing HPC applications 

      Boneti, Carlos; Gioiosa, Roberto; Cazorla, Francisco; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2008)
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      Load imbalance cause significant performance degradation in High Performance Computing applications. In our previous work we showed that load imbalance can be alleviated by modern MT processors that provide mechanisms for ...

    • A FE2 multi-scale implementation for modeling composite materials on distributed architectures 

      Giuntoli, Guido; Aguilar Mena, Jimmy; Vázquez, Mariano; Oller Martínez, Sergio Horacio; Houzeaux, Guillaume (2019-04-01)
      Article
      Accés restringit per política de l'editorial
      This work investigates the accuracy and performance of a FE2 multi-scale implementation used to predict the behavior of composite materials. The equations are formulated assuming the small deformations solid mechanics ...

    • A flux balance approach to integrate cell metabolism into multicelluar agent-based simulations 

      Ponce De Leon, Miguel (Barcelona Supercomputing Center, 2020)
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      The study of multicellular systems such as tumors, tissues, or organoids is critical to improve our understanding of the complex dynamics exhibited by these systems. For instance, the emergence of resistant cancer cells ...

    • A FM-index transformation to enable large k-steps 

      Langarita, Rubén; Armejach Sanosa, Adrià; Moretó Planas, Miquel (Barcelona Supercomputing Center, 2019-05-07)
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    • A framework for multidimensional indexes on distributed and highly-available data stores 

      Cugnasco, Cesare; Becerra Fontal, Yolanda (Barcelona Supercomputing Center, 2015-05-05)
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      No-relational databases are nowadays a common solution when dealing with a huge data set and massive query workload. These systems have been redesigned from scratch in order to achieve scalability and availability at ...

    • A lightweight tool for detecting inter-thread communication 

      Unat, Didem (Barcelona Supercomputing Center, 2020)
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      In a multicore environment, inter-thread communication can provide valuable insights about application performance. Literature detecting inter-thread communication either employs hardware simulators or binary instrumentation. ...

    • A Linux kernel scheduler extension for multi-core systems 

      Roca, Aleix; Beltran Querol, Vicenç; Marquet, Kevin (Barcelona Supercomputing Center, 2018-04-24)
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      Current runtime systems take care of getting the mostofeachsystemcorebydistributingworkamongthemultiple CPUs of a machine but they are not aware of when one of their threads (workers) perform blocking calls (e.g. I/O ...

    • A machine learning approach to stock screening with fundamental analysis 

      Alvarez Vecino, Pol (Universitat Politècnica de Catalunya, 2019-04-15)
      Projecte Final de Màster Oficial
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      We present HPC.FASSR, a High-Performance Computation Fundamental Analysis Stock Screener and Ranker to compare many ML models and the criteria of famous Benjamin Graham for stock investing using fundamental data. FASSR is ...

    • A machine learning based wall model for LES of turbulent flows 

      Radhakrishnan, Sarath; Lehmkuhl Barba, Oriol (Barcelona Supercomputing Center, 2021-05)
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      The trubulent flow of fluids is still an enigma for mathematicians and engineers alike. The partial differential equation that reperesents the flow of fluids does not have an analytical solution for turbulent regimes. ...

    • A machine learning workflow for hurricane prediction 

      Kahira, Albert; Bautista Gomez, Leonardo; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2018-04-24)
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