Recent Submissions

  • ExaQUte: D5.2 Release of ExaQUte MLMC Python engine 

    Amela Milian, Ramon; Ayoul-Guilmard, Quentin; Ganesh, Sundar; Tosi, Riccardo; Badia Sala, Rosa Maria; Nobile, Fabio; Rossi, Riccardo (2019-05-30)
    External research report
    Open Access
    In this deliverable, the ExaQUte xmc library is introduced. This report is meant to serve as a supplement to the publicly release of the library. In the following sections, the ExaQUte xmc library is described along with ...
  • ExaQUte: D1.4 Final public release of the solver 

    Ayoul-Guilmard, Quentin; Ganesh, Sundar; Nobile, Fabio; Badia Sala, Rosa Maria; Ejarque, Jorge; Cirrottola, Luca; Froehly, Algiane; Keith, Brendan; Kodakkal, Anoop; Núñez Corbacho, Marc; Roig Pina, Carlos Alejandro; Rossi, Riccardo; Tosi, Riccardo; Soriano Ortiz, Cecilia (2020-11-30)
    External research report
    Open Access
    This deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel ...
  • ExaQUte: D1.3 First public release of the solver 

    Ayoul-Guilmard, Quentin; Badia Sala, Rosa Maria; Ejarque, Jorge; Ganesh, Sundar; Nobile, Fabio; Núñez Corbacho, Marc; Soriano Ortiz, Cecilia; Roig Pina, Carlos Alejandro; Rossi, Riccardo; Tosi, Riccardo (2020-05-29)
    External research report
    Open Access
    This deliverable presents the software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definition [8]. This report is meant to serve as a supplement to the public release of the ...
  • ExaQUte: D4.2 Profiling report of the partner’s tools, complete with performance suggestions 

    Amela Milian, Ramon; Badia Sala, Rosa Maria; Böhm, Stanislav; Tosi, Riccardo; Rossi, Riccardo (2019-05-30)
    External research report
    Open Access
    This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark ...
  • Towards resilient EU HPC systems: A blueprint 

    Radojkovic, Petar; Marazakis, Manolis; Carpenter, Paul Matthew; Jeyapaul, Reiley; Gizopoulos, Dimitris; Schulz, Martin; Armejach Sanosa, Adrià; Ayguadé Parra, Eduard; Canal Corretger, Ramon; Moreto Planas, Miquel; Salami, Behzad; Unsal, Osman Sabri (2020-04)
    External research report
    Open Access
    This document aims to spearhead a Europe-wide discussion on HPC system resilience and to help the European HPC community define best practices for resilience. We analyse a wide range of state-of-the-art resilience mechanisms ...
  • MetH: A family of high-resolution and variable-shape image challenges 

    Parés Pont, Ferran; Garcia Gasulla, Dario; Servat, Harald; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (2019-11-20)
    External research report
    Open Access
    High-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks is sub-optimal for many tasks, and has ...
  • Optimizing sparse matrix-vector multiplication in NEC SX-Aurora vector engine 

    Gómez Crespo, Constantino; Casas Guix, Marc; Mantovani, Filippo; Focht, Erich (2020-06-26)
    External research report
    Open Access
    Sparse Matrix-Vector multiplication (SpMV) is an essential piece of code used in many High Performance Computing (HPC) applications. As previous literature shows, achieving efficient vectorization and performance in modern ...
  • TCP Proactive Congestion Control for East–West Trffic: the Marking Threshold 

    Fischer e Silva, Renan; Carpenter, Paul M. (Elsevier, 2019-03)
    Working paper
    Open Access
    Various extensions of TCP/IP have been proposed to reduce network latency; examples include Explicit Congestion Notification (ECN), Data Center TCP (DCTCP) and several proposals for Active Queue Management (AQM). Combining ...
  • TensorFlow on state-of-the-art HPC clusters: a machine learning use case 

    Ramirez-Gargallo, Guillem; Garcia-Gasulla, Marta; Mantovani, Filippo (IEEE, 2019)
    Conference lecture
    Open Access
    The recent rapid growth of the data-flow programming paradigm enabled the development of specific architectures, e.g., for machine learning. The most known example is the Tensor Processing Unit (TPU) by Google. Standard ...
  • Design Space Exploration of Next-Generation HPC Machines 

    Gómez, Constantino; Martínez, Francesc; Armejach, Adrià; Moretó, Miquel; Mantovani, Filippo; Casas, Marc (2019)
    External research report
    Open Access
    The landscape of High Performance Computing (HPC) system architectures keeps expanding with new technologies and increased complexity. With the goal of improving the efficiency of next-generation large HPC systems, ...
  • Filling the gap between education and industry: evidence-based methods for introducing undergraduate students to HPC 

    Mantovani, Filippo; Banchelli, Fabio (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Conference lecture
    Open Access
    Educational institutions provide in most cases basic theoretical background covering several computational science topics, however High Performance Computing (HPC) and Parallel and Distributed Computing (PDC) markets require ...
  • The HPCG benchmark: analysis, shared memory preliminary improvements and evaluation on an Arm-based platform 

    Ruiz, Daniel; Mantovani, Filippo; Casas, Marc; Labarta Mancho, Jesús José; Spiga, Filippo (2018)
    External research report
    Open Access
    The High-Performance Conjugate Gradient (HPCG) benchmark complements the LINPACK benchmark in the performance evaluation coverage of large High-Performance Computing (HPC) systems. Due to its lower arithmetic intensity and ...

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