Recent Submissions

  • Event monitor validation in high-integrity systems 

    Pujol Torramorell, Roger; Vilardell Moreno, Sergi; Mezzetti, Enrico; Hassan, Mohamed; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Platforms for modern embedded systems equip an increasing number of high-performance features to provide the required levels of performance. Timing analysis solutions handle the complexity of these platforms by relying on ...
  • BerryBees: Breadth first search by bit-tensor-cores 

    Niu, Yuyao; Casas Guix, Marc (Association for Computing Machinery (ACM), 2025)
    Conference report
    Open Access
    Breadth First Search (BFS) plays a key role in computational science, networking, and artificial intelligence applications. Although the BFS approach has been extensively studied, particularly in its direction-optimized ...
  • LIBRA: memory bandwidth- and locality-aware parallel tile rendering 

    Tomás Berjaga, Aurora; Aragón Alcaraz, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    The increasing demand for high-quality graphics requires a significant increase in computational power of modern GPUs. The common approach to follow is augmenting the number of compute units (i.e., shader cores). However, ...
  • A MAC protocol with time reversal for wireless networks within computing packages 

    Bandara, Peramuna Hettiarachchige p Ama; Das, Abhijit; Rodríguez Galán, Fátima Yolanda; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Wireless Network-on-Chip (WNoC) is a promising concept which provides a solution to overcome the scalability issues in prevailing networks-in-package for many-core processors. However, the electromagnetic propagation inside ...
  • A mess of memory system benchmarking, simulation and application profiling 

    Esmaili Dokht, Pouya; Sgherzi, Francesco; Soldera Girelli, Valéria; Boixaderas Coderch, Isaac; Carmin, Mariana; Monemi, Alireza; Armejach Sanosa, Adrià; Mercadal Melia, Estanislao; Llort Sánchez, Germán; Radojkovic, Petar; Moretó Planas, Miquel; Giménez Lucas, Judit; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Confalonieri, Emanuele; Dubey, Rishabh; Adlard, Jason (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    The Memory stress (Mess) framework provides a unified view of the memory system benchmarking, simulation and application profiling. The Mess benchmark provides a holistic and detailed memory system characterization. It is ...
  • Proton evaluation of single event effects in the NVIDIA GPU Orin SoM: Understanding radiation vulnerabilities beyond the SoC 

    Rodríguez Ferrández, Iván; Kosmidis, Leonidas; Tali, Maris; Steenari, David; Hands, Alex; Belanger-Champagne, Camille (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    In this paper, we investigate the single event effects under proton irradiation for the state-of-the-art embedded GPU NVIDIA Jetson Orin NX System-on-Module (SoM). Designed for deployment across safety critical domains and ...
  • Flow optimization at inter-datacenter networks for application run-time acceleration 

    Serracanta Pujol, Berta; Rodríguez Natal, Alberto; Maino, Fabio; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    In the present-day, distributed applications are commonly spread across multiple datacenters, reaching out to edge and fog computing locations. The transition away from single datacenter hosting is driven by capacity ...
  • Towards zero-touch optical multiband networking with the OCATA optical time domain digital twin 

    Khare, Prasunika; Ghasrizadeh Dezfouli, Mohammad Sadegh; Devigili, Mariano; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Optical in-phase and quadrature (IQ) constellations enclose valuable information regarding the optical elements traversed by the optical signal. Such information can be extracted and exploited by algorithms and models ...
  • Deployment of multi-agent system pipelines for near-real-time operation of 6G network services 

    González Pacheco, Pol; Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    A Machine Learning Function Orchestrator deploying and reconfiguring Multi-Agent Systems (MAS) pipelines to support near-real-time control of network services is showcased. An architecture to orchestrate the dynamic ...
  • Autonomous flow routing based on deep reinforcement learning 

    Barzegar, Sima; Shakespear Miles, Hailey Josephine; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    The progression of 5G and beyond brings forth a demand for dynamic services and with it many service requirements, prompting the need for adaptable and automated solutions. Existing autonomous network operations, reliant ...
  • Deployment of genuine multi-agent pipelines for near-real-time control of 6G network services 

    González Pacheco, Pol; Angoustures, Mark; Zahir Rodríguez, Adam; Barzegar, Sima; Ruiz Ramírez, Marc; Groshev, Milan; Lefebvre, Vincent; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    The near real-time control of 6 G network services requires decision-making to be placed as close to network devices as possible. A possible solution is to deploy a distributed system with intelligent agents that relieves ...
  • ReDy: a novel ReRAM-centric dynamic quantization approach for energy-efficient CNNs 

    Sabri Abrebekoh, Mohammad; Riera Villanueva, Marc; González Colás, Antonio María (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Deep Neural Networks (DNNs) have achieved enormous success for a large variety of applications. The primary operation in DNNs is the dot product of quantized input activations and weights. Prior works have proposed the ...

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