Ara es mostren els items 75-94 de 103

    • Obtaining synchronization-free code with maximum parallelism 

      Gavaldà Mestre, Ricard; Ayguadé Parra, Eduard; Torres Viñals, Jordi (1996-03)
      Report de recerca
      Accés obert
      This paper addresses the problem of extracting the maximum synchronization-free parallelism that may be present in loops. In order to reduce communication and synchronization overheads, some parallelizing compilers ...
    • On automatic loop data-mapping for distributed-memory multiprocessors 

      Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Llaberia Griñó, José M.; Valero Cortés, Mateo (Springer, 1991)
      Text en actes de congrés
      Accés obert
      In this paper we present a unified approach for compiling programs for Distributed-Memory Multiprocessors (DMM). Parallelization of sequential programs for DMM is much more difficult to achieve than for shared memory systems ...
    • ParaView + Alya + D8tree: Integrating high performance computing and high performance data analytics 

      Artigues, Antoni; Cugnasco, Cesare; Becerra Fontal, Yolanda; Cucchietti, Fernando; Houzeaux, Guillaume; Vázquez, Mariano; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Elsevier, 2017)
      Article
      Accés obert
      Large scale time-dependent particle simulations can generate massive amounts of data, making it so that storing the results is often the slowest phase and the primary time bottleneck of the simulation. Furthermore, analysing ...
    • Performance impact of the grid middleware 

      Carrera Pérez, David; Guitart Fernández, Jordi; Beltran Querol, Vicenç; Torres Viñals, Jordi; Ayguadé Parra, Eduard (American Scientific Publishers, 2006-01)
      Capítol de llibre
      Accés obert
      The Open Grid Services Architecture (OGSA) defines a new vision of the Grid based on the use of Web Services (Grid Services). The standard interfaces, behaviors and schemes that are consistent with the OGSA specification ...
    • Power-aware multi-data center management using machine learning 

      Berral García, Josep Lluís; Gavaldà Mestre, Ricard; Torres Viñals, Jordi (2013)
      Text en actes de congrés
      Accés obert
      The cloud relies upon multi-datacenter (multi-DC) infrastructures distributed along the world, where people and enterprises pay for resources to offer their web-services to worldwide clients. Intelligent management is ...
    • Predicting web server crashes: a case study in comparing prediction algorithms 

      Alonso López, Javier; Torres Viñals, Jordi; Gavaldà Mestre, Ricard (IARIA, 2009)
      Text en actes de congrés
      Accés obert
      Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing attention to another metric to evaluate servers: ...
    • PyCOMPSs: Parallel computational workflows in Python 

      Tejedor, Enric; Becerra Fontal, Yolanda; Alomar, Guillem; Queralt Calafat, Anna; Badia Sala, Rosa Maria; Torres Viñals, Jordi; Cortés, Toni; Labarta Mancho, Jesús José (2017-01-01)
      Article
      Accés obert
      The use of the Python programming language for scientific computing has been gaining momentum in the last years. The fact that it is compact and readable and its complete set of scientific libraries are two important ...
    • Realismo y arquitectura 

      Torres Viñals, Jordi (1991)
      Article
      Accés obert
    • Recurrent semantic instance semantic segmentation 

      Bellver, Míriam; Salvador Aguilera, Amaia; Campos, Víctor; Marqués Acosta, Fernando; Giró Nieto, Xavier; Torres Viñals, Jordi (Barcelona Supercomputing Center, 2018-04-24)
      Text en actes de congrés
      Accés obert
    • Scaling a convolutional neural network for classification of adjective noun pairs with TensorFlow on GPU clusters 

      Campos, Víctor; Sastre, Francesc; Yagües, Maurici; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés obert
      Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide range of applications such as computer vision in both academia and multiple industry areas. The progress made in recent ...
    • Scaling DBSCAN-like algorithms for event detection systems in Twitter 

      Capdevila Pujol, Joan; Pericacho, Gonzalo; Torres Viñals, Jordi; Cerquides, Jesús (Springer, 2016-11-25)
      Capítol de llibre
      Accés obert
      The increasing use of mobile social networks has lately transformed news media. Real-world events are nowadays reported in social networks much faster than in traditional channels. As a result, the autonomous detection of ...
    • Sign language translation from instructional videos 

      Tarrés Benet, Laia; Gallego Olsina, Gerard Ion; Cardoso Duarte, Amanda; Torres Viñals, Jordi; Giró Nieto, Xavier (Computer Vision Foundation, 2023)
      Text en actes de congrés
      Accés obert
      The advances in automatic sign language translation (SLT) to spoken languages have been mostly benchmarked with datasets of limited size and restricted domains. Our work advances the state of the art by providing the first ...
    • Simulating complex systems with a low-detail model 

      Nou Castell, Ramon; Guitart Fernández, Jordi; Beltran Querol, Vicenç; Carrera Pérez, David; Montero Mercadé, Lídia; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2005-09)
      Text en actes de congrés
      Accés obert
      In this paper we show how modeling and simulating a complex system such as a web-server can help to evaluate di erent metrics and proposals to improve the performance without necessity of using a real system. Many times ...
    • Skip RNN: learning to skip state updates in recurrent neural networks 

      Campos, Víctor; Jou, Brendan; Giró Nieto, Xavier; Torres Viñals, Jordi; Chang, Shih-Fu (Barcelona Supercomputing Center, 2018-04-24)
      Text en actes de congrés
      Accés obert
      Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty ...
    • Skip RNN: learning to skip state updates in recurrent neural networks 

      Campos Camunez, Victor; Jou, Brendan; Giró Nieto, Xavier; Torres Viñals, Jordi; Chang, Shih-Fu (2018)
      Comunicació de congrés
      Accés obert
      Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty ...
    • Spark deployment and performance evaluation on the MareNostrum supercomputer 

      Tous Liesa, Rubén; Gounaris, Anastasios; Tripiana, Carlos; Torres Viñals, Jordi; Girona Turell, Sergi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Becerra Fontal, Yolanda; Carrera Pérez, David; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Text en actes de congrés
      Accés obert
      In this paper we present a framework to enable data-intensive Spark workloads on MareNostrum, a petascale supercomputer designed mainly for compute-intensive applications. As far as we know, this is the first attempt to ...
    • Speeding up distributed MapReduce applications using hardware accelerators 

      Becerra Fontal, Yolanda; Beltran Querol, Vicenç; Carrera Pérez, David; González Tallada, Marc; Torres Viñals, Jordi; Ayguadé Parra, Eduard (2009-09)
      Text en actes de congrés
      Accés obert
      In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system architectures, operating systems and networks. ...
    • Tackling low-resourced sign language translation: UPC at WMT-SLT 22 

      Tarrés Benet, Laia; Gallego Olsina, Gerard Ion; Giró Nieto, Xavier; Torres Viñals, Jordi (Association for Computational Linguistics, 2022)
      Comunicació de congrés
      Accés obert
      This paper describes the system developed at the Universitat Politècnica de Catalunya for the Workshop on Machine Translation 2022 Sign Language Translation Task, in particular, for the sign-to-text direction. We use a ...
    • The Liver Tumor Segmentation Benchmark (LiTS) 

      Bilic, Patrick; Christ, Patrick; Li, Hongwei Bran; Vorontso, Eugene; Ben Cohen, Avi; Kaissis, Georgios; Szeski, Adi; Bellver Bueno, Míriam; Giró Nieto, Xavier; Torres Viñals, Jordi (2023-02)
      Article
      Accés obert
      In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International ...
    • The OTree: multidimensional indexing with efficient data sampling for HPC 

      Cugnasco, Cesare; Calmet, Hadrien; Santamaria Mateu, Pol; Sirvent Pardell, Raül; Eguzkitza, Ane Beatriz; Houzeaux, Guillaume; Becerra Fontal, Yolanda; Torres Viñals, Jordi; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Text en actes de congrés
      Accés obert
      Spatial big data is considered an essential trend in future scientific and business applications. Indeed, research instruments, medical devices, and social networks generate hundreds of petabytes of spatial data per year. ...