Now showing items 1-12 of 1084

    • Mainstream vs. emerging HPC: metrics, trade-offs and lessons learned 

      Radulović, Milan; Asifuzzaman, Kazi; Zivanovic, Darko; Rajovic, Nikola; Colin de Verdiére, Guillaume; Pleiter, Dirk; Marazakis, Manolis; Kallimanis, Nikolaos; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Various servers with different characteristics and architectures are hitting the market, and their evaluation and comparison in terms of HPC features is complex and multidimensional. In this paper, we share our experience ...
    • Evaluating worksharing tasks on distributed environments 

      Maroñas Bravo, Marcos; Teruel García, Xavier; Bull, J. Mark; Ayguadé Parra, Eduard; Beltran Querol, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      Hybrid programming is a promising approach to exploit clusters of multicore systems. Our focus is on the combination of MPI and tasking. This hybrid approach combines the low-latency and high throughput of MPI with the ...
    • Explore, discover and learn: unsupervised discovery of state-covering skills 

      Campos Camúñez, Víctor; Trott, Alex; Xiong, Caiming; Socher, Richard; Giró Nieto, Xavier; Torres Viñals, Jordi (2020)
      Conference lecture
      Open Access
      Acquiring abilities in the absence of a task-oriented reward function is at the frontier of reinforcement learning research. This problem has been studied through the lens of empowerment, which draws a connection between ...
    • A RISC-V simulator and benchmark suite for designing and evaluating vector architectures 

      Ramírez Lazo, Cristóbal; Hernández, César Alejandro; Palomar Pérez, Óscar; Unsal, Osman Sabri; Ramírez Salinas, Marco Antonio; Cristal Kestelman, Adrián (2020-11)
      Article
      Open Access
      Vector architectures lack tools for research. Consider the gem5 simulator, which is possibly the leading platform for computer-system architecture research. Unfortunately, gem5 does not have an available distribution that ...
    • Automatic structure extraction from MPI applications tracefiles 

      Casas Guix, Marc; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (Springer, 2007)
      Conference report
      Open Access
      The process of obtaining useful message passing applications tracefiles for performance analysis in supercomputers is a large and tedious task. When using hundreds or thousands of processors, the tracefile size can grow ...
    • GOPHER, an HPC framework for large scale graph exploration and inference 

      Josep Fabregó, Marc; Teruel García, Xavier; Giménez Ábalos, Víctor; Cirilo, Davide; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Valencia, Alfonso (Springer, 2020)
      Conference report
      Open Access
      Biological ontologies, such as the Human Phenotype Ontology (HPO) and the Gene Ontology (GO), are extensively used in biomedical research to investigate the complex relationship that exists between the phenome and the ...
    • Generation of simple analytical models for message passing applications 

      Rodríguez Herrera, Germán; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (Springer, 2004)
      Conference report
      Open Access
      We present a methodology which allows to derive accurate and simple models which are able to describe the performance of parallel applications without looking at the source code. A trace is obtained and linear models are ...
    • Scaling non-regular shared-memory codes by reusing custom loop schedules 

      Nikolopoulos, Dimitrios; Artiaga Amouroux, Ernest; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2003-06)
      Article
      Open Access
      In this paper we explore the idea of customizing and reusing loop schedules to improve the scalability of non-regular numerical codes in shared-memory architectures with non-uniform memory access latency. The main objective ...
    • Adaptive request scheduling for the I/O forwarding layer using reinforcement learning 

      Bez, Jean Luca; Zanon Boito, Francieli; Nou Castell, Ramon; Miranda Bueno, Alberto; Cortés, Toni; Navaux, Philippe O.A. (Elsevier, 2020-11)
      Article
      Restricted access - publisher's policy
      In this paper, we propose an approach to adapt the I/O forwarding layer of HPC systems to applications’ access patterns. I/O optimization techniques can improve performance for the access patterns they were designed to ...
    • Using a 0-1 integer programming model for automatic static data distribution 

      García Almiñana, Jordi; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (1996-03)
      Article
      Open Access
      This paper describes an automatic data distribution method which deal with both the alignment and the distribution problems in a single optimization phase, as opposed to sequentially solving these two inter-dependent ...
    • Data augmentation for deep learning of non-mydriatic screening retinal fundus images 

      Moya Sánchez, Eduardo Ulises; Sánchez Pérez, Abraham; Zapata Victori, Miguel Ángel; Moreno, Jonatan; Garcia Gasulla, Dario; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises (Springer, 2018)
      Conference report
      Restricted access - publisher's policy
      Fundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ...
    • 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 ...