Now showing items 1-12 of 243

    • Adaptive power shifting for power-constrained heterogeneous systems 

      Ortega Carrasco, Cristobal; Alvarez Martí, Lluc; Buyuktosunoglu, Alper; Bertran Monfort, Ramon; Rosedahl, Todd Jon; Bose, Pradip; Moreto Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2022-05-12)
      Article
      Open Access
      The number and heterogeneity of compute devices, even within a single compute node, has been steadily on the rise. Since all systems must operate under a power cap, the number of discrete devices that can run simultaneously ...
    • Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery 

      Domingo Fernández, Daniel; Gadiya, Yojana; Patel, Abhishek; Mubeen, Sarah; Rivas Barragan, Daniel; Diana, Chris W.; Misra, Biswapriya B.; Healey, David; Rokicki, Joe; Colluru, Viswa (Public Library of Science (PLOS), 2022-02)
      Article
      Open Access
      Network-based approaches are becoming increasingly popular for drug discovery as they provide a systems-level overview of the mechanisms underlying disease pathophysiology. They have demonstrated significant early promise ...
    • A model of checkpoint behavior for applications that have I/O 

      León, Betzabeth; Méndez, Sandra; Franco, Daniel; Rexachs, Dolores; Luque, Emilio (Springer, 2022-04)
      Article
      Open Access
      Due to the increase and complexity of computer systems, reducing the overhead of fault tolerance techniques has become important in recent years. One technique in fault tolerance is checkpointing, which saves a snapshot ...
    • Pulmonary function and radiologic features in survivors of critical COVID-19: a 3-month prospective cohort 

      González Gutiérrez, Jessica; Benítez Iglesias, Iván D.; Carmona Arias, Paola; Santisteve, Sallya; Monge Esqué, Aida; Moncusí Moix, Anna; Gort Paniello, Clara; Pinilla Latorre, Lucía; Carratalá García, Amara; Zuil Moreno, María; Ferrer Roca, Ricard; Ceccato, Adrián; Fernández Barat, Laia; Motos Galera, Ana; Riera del Brío, Jordi; Menéndez Villanueva, Rosario; Garcia Gasulla, Dario (2021-07)
      Article
      Open Access
      BACKGROUND: More than 20% of hospitalized patients with COVID-19 demonstrate ARDS requiring ICU admission. The long-term respiratory sequelae in such patients remain unclear. RESEARCH QUESTION: What are the major long-term ...
    • ICU-Acquired Pneumonia Is Associated with Poor Health Post-COVID-19 Syndrome 

      Martin-Loeches, Ignacio; Motos, Anna; Menéndez, Rosario; Gabarrús, Albert; González, Jessica; Pérez-Arnal, Raquel; Garcia Gasulla, Dario (MDPI, 2021-12)
      Article
      Open Access
      Background. Some patients previously presenting with COVID-19 have been reported to develop persistent COVID-19 symptoms. While this information has been adequately recognised and extensively published with respect to ...
    • Impact of time to intubation on mortality and pulmonary sequelae in critically ill patients with COVID-19: a prospective cohort study 

      González Gutiérrez, Jessica; Benítez Iglesias, Iván D.; de Gonzalo Calvo, David; Torres Cortada, Gerard; Batlle, Jordi de; Gómez Falguera, Silvia; Moncusí Moix, Anna; Carmona, Paola; Santisteve, Sallya; Gort Paniello, Clara; Ferrer Roca, Ricard; Garcia Gasulla, Dario; Torres, Antoni; Barbé, Ferran; Monge Esqué, Aida; Zuil Moreno, María (Springer Nature, 2022-12)
      Article
      Open Access
      We evaluated whether the time between first respiratory support and intubation of patients receiving invasive mechanical ventilation (IMV) due to COVID-19 was associated with mortality or pulmonary sequelae. Materials and ...
    • Large scale prediction of sick leave duration with nonlinear survival analysis algorithms 

      Béjar Alonso, Javier; Pérez Arnal, Raquel Leandra; Vilalta, Armand; Álvarez Napagao, Sergio; García Gasulla, Dario (2022-07-15)
      Article
      Restricted access - publisher's policy
      The management of sick leaves is a critical task that public and private health systems carry out. This enables the good care of sick workers and guarantees a safe return to their jobs. Most health systems enforce regulations ...
    • Towards enhancing coding productivity for GPU programming using static graphs 

      Toledo, Leonel; Valero Lara, Pedro; Vetter, Jeffrey S.; Peña, Antonio (MDPI, 2022)
      Article
      Open Access
      The main contribution of this work is to increase the coding productivity of GPU programming by using the concept of Static Graphs. GPU capabilities have been increasing significantly in terms of performance and memory ...
    • MIMO-OFDM LTE system based on a parallel IFFT/FFT on NoC-based FPGA 

      Jallouli, Kais; Mazouzi, Mohamed; Diguet, Jean-Philippe; Monemi, Alireza; Hasnaoui, Salem (Springer, 2022)
      Article
      Restricted access - publisher's policy
      The growing demand for wireless devices capable of performing complex communication processes has imposed an urgent need for high-speed communication systems and advanced network processors. This paper proposes a hardware ...
    • Hybrid parallelization of molecular dynamics simulations to reduce load imbalance 

      Morillo, Julian; Vassaux, Maxime; Coveney, Peter V.; Garcia Gasulla, Marta (Springer, 2022)
      Article
      Restricted access - publisher's policy
      The most widely used technique to allow for parallel simulations in molecular dynamics is spatial domain decomposition, where the physical geometry is divided into boxes, one per processor. This technique can inherently ...
    • Multi-GPU design and performance evaluation of homomorphic encryption on GPU clusters 

      Al Badawi, Ahmad; Veeravalli, Bharadwaj; Lin, Jie; Nan, Xiao; Matsumura, Kazuaki; Mi Mi Aung, Khin (2021-02-01)
      Article
      Open Access
      We present a multi-GPU design, implementation and performance evaluation of the Halevi-Polyakov-Shoup (HPS) variant of the Fan-Vercauteren (FV) levelled Fully Homomorphic Encryption (FHE) scheme. Our design follows a data ...
    • Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery 

      Domingo Fernández, Daniel; Gadiya, Yojana; Patel, Abhishek; Mubeen, Sarah; Rivas Barragan, Daniel; Diana, Chris W.; Misra, Biswapriya B.; Healey, David; Rokicki, Joe; Colluru, Viswa (Public Library of Science, 2022-02)
      Article
      Open Access
      Network-based approaches are becoming increasingly popular for drug discovery as they provide a systems-level overview of the mechanisms underlying disease pathophysiology. They have demonstrated significant early promise ...