Ara es mostren els items 74-93 de 217

    • Feature discriminativity estimation in CNNs for transfer learning 

      Giménez Ábalos, Víctor; Vilalta Arias, Armand; Garcia Gasulla, Dario; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (IOS Press, 2019)
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      The purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, potentially unrelated problem. However, raw feature extraction from all ...
    • Feature space curvature map: A method to homogenize cluster densities 

      Mahdavi, Kaveh; Labarta Mancho, Jesús José; Mousavinia, Atefeh; Giménez Lucas, Judit; Mousavinia, Atiyeh (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      The majority of density-based clustering algorithms can not perform properly when data expose very different density through the feature space. These algorithms implicitly presume that all clusters almost have the same ...
    • Fluid communities: a competitive, scalable and diverse community detection algorithm 

      Parés Sabatés, Ferran; García Gasulla, Darío; Vilalta Arias, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Springer, 2017)
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      We introduce a community detection algorithm (Fluid Communities) based on the idea of fluids interacting in an environment, expanding and contracting as a result of that interaction. Fluid Communities is based on the ...
    • Folding: reporting instantaneous performance metrics and source-code references 

      Servat, Harald; Labarta Mancho, Jesús José (Barcelona Supercomputing Center, 2015-05-05)
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      Despite supercomputers deliver huge computational power, applications only reach a fraction of it. There are several factors limiting the application performance, and one of the most important is the single processor ...
    • Framework for a productive performance optimization 

      Servat, Harald; Llort, German; Huck, Kevin A.; Giménez Lucas, Judit; Labarta Mancho, Jesús José (2013-08)
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      Modern supercomputers deliver large computational power, but it is difficult for an application to exploit such power. One factor that limits the application performance is the single node performance. While many performance ...
    • Full-network embedding in a multimodal embedding pipeline 

      Vilalta Arias, Armand; Garcia Gasulla, Dario; Parés Pont, Ferran; Moreno Vázquez, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Association for Computational Linguistics, 2017)
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      The current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ...
    • Gaining asynchronity by using Hybrid UPC/SMPSS 

      Farreras Esclusa, Montserrat; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2009)
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      Partitioned Global Address Space (PGAS) languages provide a unique programming model that can span shared-memory multiprocessor (SMP) architectures, distributed memory machines, or cluster of SMPs. Users can program large ...
    • Generating a periodic pattern for VLIW 

      Barrado Muxí, Cristina; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard; Valero Cortés, Mateo (Universidad de Málaga, 1995)
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      Fine-grain parallelism available in VLIW and superscalar processors can be mainly exploited in computational intensive loops. Aggressive scheduling techniques are required to fully exploit this parallelism. In this paper ...
    • Generation of simple analytical models for message passing applications 

      Rodríguez Herrera, Germán; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (Springer, 2004)
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      We present a methodology which allows to derive accurate and simple models which are able to describe the performance of parallel applications without looking at the source code. A trace is obtained and linear models are ...
    • Global misrouting policies in two-level hierarchical networks 

      Garcia, Marina; Vallejo, Enrique; Beivide Palacio, Julio Ramón; Odriozola, Miguel; Camarero Coterillo, Cristobal; Valero Cortés, Mateo; Labarta Mancho, Jesús José; Rodríguez, Germán (2013)
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      Dragonfly networks are composed of interconnected groups of routers. Adaptive routing allows packets to be forwarded minimally or non-minimally adapting to the traffic conditions in the network. While minimal routing sends ...
    • Graph partitioning applied to DAG scheduling to reduce NUMA effects 

      Sánchez Barrera, Isaac; Casas, Marc; Moretó Planas, Miquel; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Valero Cortés, Mateo (Association for Computing Machinery (ACM), 2018)
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      The complexity of shared memory systems is becoming more relevant as the number of memory domains increases, with different access latencies and bandwidth rates depending on the proximity between the cores and the devices ...
    • 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 ...
    • Guided performance analysis combining profile and trace tools 

      Giménez Lucas, Judit; Labarta Mancho, Jesús José; Pegenaute Bresme, Xavier; Wen, Hui-Fang; Klepacki, David; Chung, I-Hsin; Cong, Guojing; Voigtländer, Felix; Mohr, Bernd (Springer, 2010)
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      Performance analysis is very important to understand the applications’ behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the ...
    • Handling task dependencies under strided and aliased references 

      Pérez Cáncer, Josep Maria; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (2010)
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      The emergence of multicore processors has increased the need for simple parallel programming models usable by nonexperts. The ability to specify subparts of a bigger data structure is an important trait of High Productivity ...
    • Hierarchical task-based programming with StarSs 

      Planas Carbonell, Judit; Badia Sala, Rosa Maria; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2009-08)
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      Programming models for multicore and many-core systems are listed as one of the main challenges in the near future for computing research. These programming models should be able to exploit the underlying platform, but ...
    • 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)
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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 ...
    • Identifying code phases using piece-wise linear regressions 

      Servat, Harald; Llort Sánchez, Germán; González García, Juan; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2014)
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      Node-level performance is one of the factors that may limit applications from reaching the supercomputers' peak performance. Studying node-level performance and attributing it to the source code results into valuable insight ...
    • Identifying critical code sections in dataflow programming models 

      Subotic, Vladimir; Sancho, Jose Carlos; Labarta Mancho, Jesús José; Valero Cortés, Mateo (2013)
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      The years of practice in optimizing applications point that the major issue is focus - identifying the critical code section whose optimization would yield the highest overall speedup. While this issue is mainly solved for ...
    • Impact of the memory hierarchy on shared memory architectures in multicore programming models 

      Badia Sala, Rosa Maria; Pérez Cáncer, Josep Maria; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (IEEE Computer Society Publications, 2009)
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      Many and multicore architectures put a big pressure in parallel programming but gives a unique opportunity to propose new programming models that automatically exploit the parallelism of these architectures. OpenMP is a ...
    • Implementing OmpSs support for regions of data in architectures with multiple address spaces 

      Bueno Hedo, Javier; Martorell Bofill, Xavier; Badia Sala, Rosa Maria; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (ACM, 2013)
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      The need for features for managing complex data accesses in modern programming models has increased due to the emerging hardware architectures. HPC hardware has moved towards clusters of accelerators and/or multicores, ...