Recent Submissions

  • On the benefits of tasking with OpenMP 

    Rico, Alejandro; Sánchez Barrera, Isaac; Joao, Jose A.; Randall, Joshua; Casas, Marc; Moreto Planas, Miquel (Springer, 2019)
    Conference report
    Restricted access - publisher's policy
    Tasking promises a model to program parallel applications that provides intuitive semantics. In the case of tasks with dependences, it also promises better load balancing by removing global synchronizations (barriers), and ...
  • Accelerating hyperparameter optimisation with PyCOMPSs 

    Kahira, Albert Njoroge; Bautista Gomez, Leonardo Arturo; Conejero, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    Machine Learning applications now span across multiple domains due to the increase in computational power of modern systems. There has been a recent surge in Machine Learning applications in High Performance Computing (HPC) ...
  • Holistic slowdown driven scheduling and resource management for malleable jobs 

    D'Amico, Marco; Jokanovic, Ana; Corbalán González, Julita (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    In job scheduling, the concept of malleability has been explored since many years ago. Research shows that malleability improves system performance, but its utilization in HPC never became widespread. The causes are the ...
  • The cooperative parallel: A discussion about run-time schedulers for nested parallelism 

    Royuela, Sara; Serrano, Maria A.; García Gasulla, Marta; Mateo Bellido, Sergi; Labarta Mancho, Jesús José; Quiñones Moreno, Eduardo (Springer, 2019)
    Conference report
    Open Access
    Nested parallelism is a well-known parallelization strategy to exploit irregular parallelism in HPC applications. This strategy also fits in critical real-time embedded systems, composed of a set of concurrent functionalities. ...
  • Assembling a high-productivity DSL for computational fluid dynamics 

    Macià, Sandra; Martínez-Ferrer, Pedro J.; Mateo, Sergi; Beltran Querol, Vicenç; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2019)
    Conference report
    Open Access
    As we move towards exascale computing, an abstraction for effective parallel computation is increasingly needed to overcome the maintainability and portability of scientific applications while ensuring the efficient and ...
  • Wav2Pix: speech-conditioned face generation using generative adversarial networks 

    Cardoso Duarte, Amanda; Roldan, Francisco; Tubau, Miquel; Escur, Janna; Pascual de la Puente, Santiago; Salvador Aguilera, Amaia; Mohedano, Eva; McGuinness, Kevin; Torres Viñals, Jordi; Giró Nieto, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference lecture
    Restricted access - publisher's policy
    Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker. In this work, we explore its potential to generate face images of a speaker by conditioning a ...
  • Application Acceleration on FPGAs with OmpSs@FPGA 

    Bosch, Jaume; Tan, Xubin; Filgueras Izquierdo, Antonio; Vidal, Miquel; Mateu, Marc; Jiménez-González, Daniel; Álvarez, Carlos; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    OmpSs@FPGA is the flavor of OmpSs that allows offloading application functionality to FPGAs. Similarly to OpenMP, it is based on compiler directives. While the OpenMP specification also includes support for heterogeneous ...
  • Evaluating the benefits of key-value databases for scientific applications 

    Santamaría Mateu, Pol; Oden, Lena; Gil, Eloy; Becerra Fontal, Yolanda; Sirvent, Raül; Glock, Philipp; Torres Viñals, Jordi (Springer, 2019)
    Conference report
    Open Access
    The convergence of Big Data applications with High-Performance Computing requires new methodologies to store, manage and process large amounts of information. Traditional storage solutions are unable to scale and that ...
  • Assessing the participatory design of a project-based course on computer network applications 

    Freitag, Fèlix; Tous Liesa, Rubén; Navarro Moldes, Leandro
    Conference report
    Open Access
    New teaching methodologies which foster student involvement, such as project-based learning, are nowadays part of the study curriculum of many engineering schools. Project-based learning courses, however, often build upon ...
  • ECHOFS: a scheduler-guided temporary filesystem to leverage node-local NVMS 

    Miranda, Alberto; Nou Castell, Ramon; Cortés, Toni (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    The growth in data-intensive scientific applications poses strong demands on the HPC storage subsystem, as data needs to be copied from compute nodes to I/O nodes and vice versa for jobs to run. The emerging trend of adding ...
  • Verification of asynchronous circuits by BDD-based model checking of Petri nets 

    Roig Mansilla, Oriol; Cortadella, Jordi; Pastor Llorens, Enric (Springer, 1995)
    Conference report
    Open Access
    This paper presents a methodology for the verification of speed-independent asynchronous circuits against a Petri net specification. The technique is based on symbolic reachability analysis, modeling both the specification ...
  • An out-of-the-box full-network embedding for convolutional neural networks 

    Garcia-Gasulla, Dario; Vilalta, Armand; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference report
    Open Access
    Features extracted through transfer learning can be used to exploit deep learning representations in contexts where there are very few training samples, where there are limited computational resources, or when the tuning ...

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