Recent Submissions

  • Deep learning-based real-time analysis of lightpath optical constellations [Invited] 

    Ruiz Ramírez, Marc; Sequeira, Diogo Gonçalo; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2022-06-01)
    Article
    Restricted access - publisher's policy
    Optical network automation requires accurate physical layer models, not only for provisioning but also for real-time analysis. In particular, In-Phase (I) and Quadrature (Q) constellation analysis enables deep understanding ...
  • Non-linear models for black carbon exposure modelling using air pollution datasets 

    Puig Rovira, Josep M.; Paredes Ahumada, Juan Antonio; Barceló Ordinas, José María; García Vidal, Jorge; Reche Andúgar, Cristina; Sola Salvatierra, Yolanda; Fung, Pascale; Petaja, Tuukka; Hussein, Tareq; Viana Rodríguez, Mar (Elsevier, 2022-09-01)
    Article
    Open Access
    Black carbon (BC) is a product of incomplete combustion, present in urban aerosols and sourcing mainly from road traffic. Epidemiological evidence reports positive associations between BC and cardiovascular and respiratory ...
  • An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment 

    Haghi, Abbas; Marco-Sola, Santiago; Álvarez Martí, Lluc; Diamantopoulos, Dionysios; Hagleitner, Christoph; Moreto Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In the last years, advances in next-generation sequencing technologies have enabled the proliferation of genomic applications that guide personalized medicine. These applications have an enormous computational cost due to ...
  • TCOR: a tile cache with optimal replacement 

    Joseph, Diya; Aragón, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Cache Replacement Policies are known to have an important impact on hit rates. The OPT replacement policy [27] has been formally proven as optimal for minimizing misses. Due to its need to look far ahead for future memory ...
  • Dynamically adapting floating-point precision to accelerate deep neural network training 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Petit, Eric; Henry, Greg; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Mixed-precision (MP) arithmetic combining both single- and half-precision operands has been successfully applied to train deep neural networks. Despite its advantages in terms of reducing the need for key resources like ...
  • Multilevel simulation-based co-design of next generation HPC microprocessors 

    Zaourar, Lilia; Benazouz, Mohamed; Mouhagir, Ayoub; Jebali, Fatma; Sassolas, Tanguy; Weill, Jean Christophe; Radulović, Milan; Martínez Palau, Francesc; Armejach Sanosa, Adrià; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    This paper demonstrates the combined use of three simulation tools in support of a co-design methodology for an HPC-focused System-on-a-Chip (SoC) design. The simulation tools make different trade-offs between simulation ...
  • 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 ...
  • JACC: An OpenACC runtime framework with kernel-level and multi-GPU parallelization 

    Matsumura, Kazuaki; García de Gonzalo, Simón; Peña Monferrer, Antonio José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such ...
  • Performance evaluation of data-centric workloads in serverless environments 

    Nestorov, Anna Maria; Polo Bardés, Jorda; Misale, Claudia; Carrera Pérez, David; Youssef, Alaa (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Serverless computing is a cloud-based execution paradigm that allows provisioning resources on-demand, freeing developers from infrastructure management and operational concerns. It typically involves deploying workloads ...
  • Memory demands in disaggregated HPC: How accurate do we need to be? 

    Vieira Zacarias, Felippe; Carpenter, Paul Matthew; Petrucci, Vinicius (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Disaggregated memory has recently been proposed as a way to allow flexible and fine-grained allocation of memory capacity, mitigating the mismatch between fixed per-node resource provisioning and the needs of the submitted ...
  • Clustering and graph mining techniques for classification of complex structural variations in cancer genomes 

    Gómez Sánchez, Gonzalo; Delgado Serrano, Luisa; Carrera Pérez, David; Torrents Arenales, David; Berral García, Josep Lluís (Nature, 2022-02-28)
    Article
    Open Access
    For many years, a major question in cancer genomics has been the identification of those variations that can have a functional role in cancer, and distinguish from the majority of genomic changes that have no functional ...
  • IGNNITION: A framework for fast prototyping of Graph Neural Networks 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; Xiao, Shihan; Wu, Bo; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
    Conference report
    Open Access
    Recent years have seen the vast potential of Graph Neural Networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, logistics). However, implementing a GNN prototype is still a cumbersome task that ...

View more