Recent Submissions

  • Cost-aware prediction of uncorrected DRAM errors in the field 

    Boixaderas Coderch, Isaac; Živanovič, Darko; Moré Codina, Sergi; Bartolomé Rodríguez, Javier; Vicente Dorca, David; Casas Guix, Marc; Carpenter, Paul Matthew; Radojkovic, Petar; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    This paper presents and evaluates a method to predict DRAM uncorrected errors, a leading cause of hardware failures in large-scale HPC clusters. The method uses a random forest classifier, which was trained and evaluated ...
  • Improving predication efficiency through compaction/restoration of SIMD instructions 

    Barredo Ferreira, Adrián; Cebrián González, Juan Manuel; Moreto Planas, Miquel; Casas Guix, Marc; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Vector processors offer a wide range of unexplored opportunities to improve performance and energy efficiency. However, despite its potential, vector code generation and execution have significant challenges, the most ...
  • Evaluating mixed-precision arithmetic for 3D generative adversarial networks to simulate high energy physics detectors 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Khattak, Gulrukh; Petit, Eric; Vallecorsa, Sofia; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Several hardware companies are proposing native Brain Float 16-bit (BF16) support for neural network training. The usage of Mixed Precision (MP) arithmetic with floating-point 32-bit (FP32) and 16-bit half-precision aims ...
  • Parallelware tools: an experimental evaluation on POWER systems 

    Arenaz Silva, Manuel; Martorell Bofill, Xavier (Springer, 2019)
    Conference report
    Open Access
    Static code analysis tools are designed to aid software developers to build better quality software in less time, by detecting defects early in the software development life cycle. Even the most experienced developer ...
  • Runtime-guided ECC protection using online estimation of memory vulnerability 

    Jaulmes, Luc Etienne; Moreto Planas, Miquel; Valero Cortés, Mateo; Erez, Mattan; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Diminishing reliability of semiconductor technologies and decreasing power budgets per component hinder designing next-generation high performance computing (HPC) systems. Both constraints strongly impact memory subsystems, ...
  • BST: A BookSim-based toolset to simulate NoCs with single- and multi-hop bypass 

    Pérez Gallardo, Iván; Vallejo Gutiérrez, Enrique; Moreto Planas, Miquel; Beivide Palacio, Julio Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Network-on-Chips are a critical part of modern multiprocessors and their relevance will grow with the number of cores. The development of future NoC designs relies on detailed simulation models that accurately estimate ...
  • Proactive container auto-scaling for cloud native machine learning services 

    Buchaca Prats, David; Berral García, Josep Lluís; Wang, Chen; Youssef, Alaa (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference lecture
    Open Access
    Understanding the resource usage behaviors of the ever-increasing machine learning workloads are critical to cloud providers offering Machine Learning (ML) services. Capable of auto-scaling resources for customer workloads ...
  • Adjusting climate model bias for agricultural impact assessment: How to cut the mustard 

    Galmarini, Stefano; Cannon, Alex J.; Ceglar, Andrej; Christensen, Ole Bøssing; Noblet-Ducoudré, Nathalie D. de; Dentener, Frank J.; Doblas-Reyes, Francisco; Dosio, Alessandro; Gutiérrez, José Manuel; Iturbide, Maialen; Jury, Martin W.; Lange, Stefan; Loukos, Harilaos; Maiorano, Andrea; Maraun, Douglas; McGinnis, Seth A.; Nikulin, Grigory N.; Riccio, Angelo; Sanchez, Enrique; Solazzo, Efisio; Toreti, Andrea; Vrac, Mathieu; Zampieri, Matteo (Elsevier, 2019)
    Article
    Open Access
  • CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs 

    Criado, Joel; Garcia Gasulla, Marta; Kumbhar, Pramod; Awile, Omar; Magkanaris, Ioannis; Mantovani, Filippo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference lecture
    Open Access
    The simulation of detailed neuronal circuits is based on computationally expensive software simulations and requires access to a large computing cluster. The appearance of new Instruction Set Architectures (ISAs) in most ...
  • Energy optimization and analysis with EAR 

    Corbalán González, Julita; Alonso Jane, Lluís; Aneas Gómez, Jordi; Brochard, Luigi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    EAR is an energy management framework which offers three main services: energy accounting, energy control, and energy optimization. The latter is done through the EAR runtime library (EARL). EARL is a dynamic, transparent, ...
  • A hardware/software co-design of K-mer counting using a CAPI-enabled FPGA 

    Haghi, Abbas; Álvarez Martí, Lluc; Polo Bardés, Jorda; Diamantopoulos, Dionysios; Hagleitner, Christoph; Moreto Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Advances in Next Generation Sequencing (NGS) technologies have caused the proliferation of genomic applications to detect DNA mutations and guide personalized medicine. These applications have an enormous computational ...
  • UP2DATE: Safe and secure over-the-air software updates on high-performance mixed-criticality systems 

    Agirre, Irene; Onaindia, Peio; Poggi, Tomasso; Yarza, Irune; Cazorla Almeida, Francisco Javier; Kosmidis, Leonidas; Grüttner, Kim; Abuteir, Mohammed; Loewe, Jan; Orbegozo, Juan M.; Botta, Stefania (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference lecture
    Open Access
    Following the same trend of consumer electronics, safety-critical industries are starting to adopt Over-The-Air Software Updates (OTASU) on their embedded systems. The motivation behind this trend is twofold. On the one ...

View more