Recent Submissions

  • Efficient Parallel Strategies For Conjugate Heat Transfer Problems 

    Houzeaux, Guillaume; Santoso, Simon; Garcia Gasulla, Marta; Samaniego, Cristobal; Calmet, Hadrien (Association for Computing Machinery (ACM), 2024)
    Conference lecture
    Open Access
    Historically, temperature boundary conditions in thermal fluids have conventionally been approached as Robin-type boundary conditions. However, with the emergence of supercomputing capabilities, there is now the opportunity ...
  • Performance Analysis and Optimizations of ERO2.0 Fusion Code 

    Garcia Gasulla, Marta; Vinyals Ylla Catala, Joan; Romazanov, Juri; Baumann, Christoph; Matveev, Dmitry (Association for Computing Machinery (ACM), 2024)
    Conference lecture
    Open Access
    In this paper, we present a thorough performance analysis of a highly parallel Monte Carlo code for modeling global erosion and redeposition in fusion devices, ERO2.0. The study shows that the main bottleneck preventing ...
  • eProcessor: European, extendable, energy-efficient, extreme-scale, extensible, processor ecosystem 

    Alvarez Martí, Lluc; Ruíz Ramírez, Abraham Josafat; Bigas Soldevilla, Arnau; Kuroedov, Pavel; González Trejo, Alberto; Mahale, Hamsika; Bustamante Peralta, Noe; Aguilera Dangla, Albert; Minervini Minervini, Francesco; Salamero Sanz, Javier; Palomar Pérez, Óscar (Association for Computing Machinery (ACM), 2023)
    Conference report
    Open Access
    The eProcessor project aims at creating a RISC-V full stack ecosystem. The eProcessor architecture combines a high-performance out-of-order core with energy-efficient accelerators for vector processing and artificial ...
  • Efficient diverse redundant DNNs for autonomous driving 

    Caro Roca, Martí; Fornt Mas, Jordi; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Automotive applications with safety requirements must adhere to specific regulations such as ISO 26262, which imposes the use of diverse redundancy for the highest integrity levels (i.e., ASIL D). While this has been often ...
  • Unraveling the mystery of NVIDIA's unified memory for safety-critical GPU systems 

    Arauzo Sánchez, Xabier; Yarza Perez, Irune; Kosmidis, Leonidas; Calderón, Alejandro J.; Rodríguez Castaño, Marcos (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    In the domain of safety-critical systems there is an increasing need for more compute-capable and higher performance devices. This comes from the dramatic increase on the software complexity caused by the newest intelligent ...
  • Vitamin-V: Virtual environment and tool-boxing for trustworthy development of RISC-V based cloud services 

    Canal Corretger, Ramon; Chenet, Cristiano; Arelakis, Angelos; Arnau Montañes, Jose-Maria; Berral García, Josep Lluís; Call Barreiro, Aaron; Di Carlo, Stefano; Costa Prats, Juan José; Otero Calviño, Beatriz; Rodríguez Luna, Eva (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    VITAMIN-V is a 2023–2025 Horizon Europe project that aims to develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart and a powerful virtual ...
  • MScheduler: leveraging spot instances for high-performance reservoir simulation in the cloud 

    Albuquerque Portella, Felipe; Estrela, Paulo J.B.; Malini, Renzo Q.; Teylo, Luan; Berral García, Josep Lluís; Drummond, Lúcia M.A. (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Petroleum reservoir simulation uses computer models to predict fluid flow in porous media, aiding to forecast oil production. Engineers execute numerous simulations with different geological realizations to refine the ...
  • A two level neural approach combining off-chip prediction with adaptive prefetch filtering 

    Jamet, Alexandre Valentin; Vavouliotis, Georgios; Jiménez, Daniel A.; Álvarez Martí, Lluc; Casas, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    To alleviate the performance and energy overheads of contemporary applications with large data footprints, we propose the Two Level Perceptron (TLP) predictor, a neural mechanism that effectively combines predicting whether ...
  • Improving performance of HPC kernels on FPGAs using high-level resource management 

    Filgueras Izquierdo, Antonio; Vidal, Miquel; Jiménez González, Daniel; Álvarez Martínez, Carlos; Martorell Bofill, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference lecture
    Open Access
    In state-of-the-art FPGA, especially in chiplet-based devices, place and route has become an important challenge due to an increase in device size and complexity. In the same way, off-chip memory resources have grown in ...
  • The METASAT hardware platform: A high-performance multicore, AI SIMD and GPU RISC-V platform for on-board processing 

    Kosmidis, Leonidas; Solé i Bonet, Marc; Rodríguez Ferrández, Iván; Wolf, Jannis; Trompouki, Matina Maria (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    The METASAT Horizon Europe project which is funded by the European Commission and started in January 2023, will enable model-based design methodologies in order to manage the complexity of upcoming hardware and software ...
  • Case-study for integration of COTS SoC devices in reliable space systems for on-board processing 

    Rodríguez Ferrández, Iván; Steenari, David; Tali, Maris; Kosmidis, Leonidas; Tonicello, Ferdinando (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    Recent trends in Data Handling Systems (DHS) include increased data-rates, in-orbit reconfiguration and the introduction of advanced On-Board Processing (OBP) methods to extract actionable information on-board, with low ...
  • Evaluating the computational capabilities of embedded multicore and GPU platforms for on-board image processing 

    Rodríguez Ferrández, Iván; Kosmidis, Leonidas; Trompouki, Matina Maria; Steenari, David; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    On-board Image Processing is one of the most computationally intensive tasks performed in space payload processing. With the constant increase in the resolution of optical sensors, new powerful architectures are needed for ...

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