Now showing items 1-20 of 215

    • A cache design for probabilistically analysable real-time systems 

      Kosmidis, Leonidas; Abella Ferrer, Jaume; Quiñones, Eduardo; Cazorla Almeida, Francisco Javier (2013)
      Conference report
      Restricted access - publisher's policy
      Caches provide significant performance improvements, though their use in real-time industry is low because current WCET analysis tools require detailed knowledge of program's cache accesses to provide tight WCET estimates. ...
    • A confidence assessment of WCET estimates for software time randomized caches 

      Benedicte Illescas, Pedro; Kosmidis, Leonidas; Quiñones, Eduardo; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Obtaining Worst-Case Execution Time (WCET) estimates is a required step in real-time embedded systems during software verification. Measurement-Based Probabilistic Timing Analysis (MBPTA) aims at obtaining WCET estimates ...
    • A cross-layer review of deep learning frameworks to ease their optimization and reuse 

      Tabani, Hamid; Pujol Torramorell, Roger; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      Machine learning and especially Deep Learning (DL) approaches are at the heart of many domains, from computer vision and speech processing to predicting trajectories in autonomous driving and data science. Those approaches ...
    • A detailed methodology to compute soft error rates in advanced technologies 

      Riera Villanueva, Marc; Canal Corretger, Ramon; Abella Ferrer, Jaume; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Restricted access - publisher's policy
      System reliability has become a key design aspect for computer systems due to the aggressive technology miniaturization. Errors are typically dominated by transient faults due to radiation and are strongly related to the ...
    • A methodology for selective protection of matrix multiplications: A diagnostic coverage and performance trade-off for CNNs executed on GPUs 

      Fernández Muñoz, Javier; Agirre Troncoso, Irune; Pérez Cerrolaza, Jon; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      The ability of CNNs to efficiently and accurately perform complex functions, such as object detection, has fostered their adoption in safety-related autonomous systems. These algorithms require high computational performance ...
    • A Methodology for Selective Protection of Matrix Multiplications: A Diagnostic Coverage and Performance Trade-off for CNNs Executed on GPUs 

      Fernández, Javier; Agirre, Irune; Perez Cerrolaza, Jon; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference lecture
      Open Access
      The ability of CNNs to efficiently and accurately perform complex functions, such as object detection, has fostered their adoption in safety-related autonomous systems. These algorithms require high computational performance ...
    • A reliable statistical analysis of the best-fit distribution for High Execution Times 

      Civit, Xavier; Castillo, Joan del; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference lecture
      Open Access
      Extreme Value Theory has been used to model the WCET probabilistically, relying on the assumption that probabilistic WCET (pWCET) estimates can be upper-bounded with exponential distributions, but this is only assessed on ...
    • A software-only approach to enable diverse redundancy on Intel GPUs for safety-related kernels 

      Andriotis, Nikolaos; Serrano Cases, Alejandro; Alcaide Portet, Sergi; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier; Peng, Yang; Baldovin, Andrea; Paulitsch, Michael; Tsymbal, Vladimir (Association for Computing Machinery (ACM), 2023)
      Conference report
      Open Access
      Autonomous Driving (AD) systems rely on object detection and tracking algorithms that require processing high volumes of data at high frequency. High-performance graphics processing units (GPUs) have been shown to provide ...
    • Accurate ILP-Based Contention Modeling on Statically Scheduled Multicore Systems 

      Palomo, Xavier; Mezzetti, Enrico; Abella Ferrer, Jaume; Bril, Reinder J.; Cazorla, Francisco J. (IEEE, 2019-06-24)
      Conference lecture
      Open Access
      Commercially available Off The Shelf (COTS) multicores have been assessed as the baseline computing platform even in the most conservative real-time domains. Multicore contention arising on shared hardware resources, with ...
    • Accurately measuring contention in Mesh NoCs in time-sensitive embedded systems 

      Cardona Nadal, Jordi; Hernández Luz, Carles; Abella Ferrer, Jaume; Mezzetti, Enrico; Cazorla Almeida, Francisco Javier (Association for Computing Machinery (ACM), 2023-05)
      Article
      Open Access
      The computing capacity demanded by embedded systems is on the rise as software implements more functionalities, ranging from best-effort entertainment functions to performance-guaranteed safety-related functions. Heterogeneous ...
    • Achieving diverse redundancy for GPU Kernels 

      Alcaide Portet, Sergi; Kosmidis, Leonidas; Hernández Luz, Carles; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2022-04)
      Article
      Open Access
      Autonomous driving requires high-performance computing devices including general-purpose CPUs as well as specific accelerators, with GPUs having a key role due to their flexibility. Safety-critical microcontrollers have ...
    • Achieving timing composability with measurement-based probabilistic timing analysis 

      Kosmidis, Leonidas; Quiñones, Eduardo; Abella Ferrer, Jaume; Vardanega, Tulio; Cazorla Almeida, Francisco Javier (2013)
      Conference report
      Restricted access - publisher's policy
      Probabilistic Timing Analysis (PTA) allows complex hardware acceleration features, which defeat classic timing analysis, to be used in hard real-time systems. PTA can do that because it drastically reduces intrinsic ...
    • ADAM : an efficient data management mechanism for hybrid high and ultra-low voltage operation caches 

      Maric, Bojan; Abella Ferrer, Jaume; Valero Cortés, Mateo (2012)
      Conference report
      Restricted access - publisher's policy
      Semiconductor technology evolution enables the design of ultra-low-cost chips (e.g., below 1 USD) required for new market segments such as environment, urban life and body monitoring, etc. Recently, hybrid-operation (high ...
    • Adapting TDMA arbitration for measurement-based probabilistic timing analysis 

      Panic, Milos; Abella Ferrer, Jaume; Quiñones, Eduardo; Hernandez, Carles; Ungerer, Theo; Cazorla, Francisco J. (Elsevier, 2017-07)
      Article
      Open Access
      Critical Real-Time Embedded Systems require functional and timing validation to prove that they will perform their functionalities correctly and in time. For timing validation, a bound to the Worst-Case Execution Time ...
    • ADBench: benchmarking autonomous driving systems 

      Tabani, Hamid; Pujol Torramorell, Roger; Alcón Doganoc, Miguel; Moya Riera, Joan; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2022)
      Article
      Open Access
      Driven by the improvements in a variety of domains, autonomous driving is becoming a reality and today, industry aims at moving toward fully autonomous vehicles. High-tech chip manufacturers are designing high-performance ...
    • Aging Assessment and Design Enhancement of Randomized Cache Memories 

      Trilla, David; Hernandez, Carles; Abella Ferrer, Jaume; Cazorla, Francisco J. (Institute of Electrical and Electronics Engineers (IEEE), 2017-01-17)
      Article
      Open Access
      Critical real-time systems require the estimation of the worst-case execution time (WCET) for scheduling purposes and resource budgeting. Measurement-based probabilistic timing analysis (MBPTA) has been shown recently as ...
    • An academic RISC-V silicon implementation based on open-source components 

      Abella Ferrer, Jaume; Bulla, Calvin; Cabo Pitarch, Guillem; Cazorla Almeida, Francisco Javier; Cristal Kestelman, Adrián; Doblas Font, Max; Figueras Bagué, Roger; González Trejo, Alberto; Hernández Luz, Carles; Hernández Calderón, César Alejandro; Jiménez Arador, Víctor; Kosmidis, Leonidas; Kostalampros, Ioannis-Vatistas; Langarita Benítez, Rubén; Leyva Santes, Neiel; López Paradís, Guillem; Marimon Illana, Joan; Martínez Martínez, Ricardo; Mendoza Escobar, Jonnatan; Moll Echeto, Francisco de Borja; Moretó Planas, Miquel; Pavón Rivera, Julián; Ramírez Lazo, Cristóbal; Ramírez Salinas, Marco Antonio; Rojas Morales, Carlos; Rubio Sola, Jose Antonio; Ruiz, Abraham Josafat; Sonmez, Nehir; Soria Pardos, Víctor; Teres Teres, Lluis; Unsal, Osman Sabri; Valero Cortés, Mateo; Vargas Valdivieso, Iván; Villa Vargas, Luis Alfonso (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      The design presented in this paper, called preDRAC, is a RISC-V general purpose processor capable of booting Linux jointly developed by BSC, CIC-IPN, IMB-CNM (CSIC), and UPC. The preDRAC processor is the first RISC-V ...
    • An approach for detecting power peaks during testing and breaking systematic pathological behavior 

      Trilla Rodríguez, David; Hernández Luz, Carles; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      The verification and validation process of embedded critical systems requires providing evidence of their functional correctness and also that their non-functional behavior stays within limits. In this work, we focus on ...
    • An automotive case study on the limits of approximation for object detection 

      Caro Roca, Martí; Tabani, Hamid; Abella Ferrer, Jaume; Moll Echeto, Francisco de Borja; Morancho Llena, Enrique; Canal Corretger, Ramon; Altet Sanahujes, Josep; Calomarde Palomino, Antonio; Cazorla Almeida, Francisco Javier; Rubio Romano, Antonio; Fontova Muste, Pau; Fornt Mas, Jordi (2023-05)
      Article
      Restricted access - publisher's policy
      The accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignores the fact that many unimportant objects ...
    • An energy-efficient GeMM-based convolution accelerator with on-the-fly im2col 

      Fornt Mas, Jordi; Fontova Muste, Pau; Caro Roca, Martí; Abella Ferrer, Jaume; Moll Echeto, Francisco de Borja; Altet Sanahujes, Josep; Studer, Christoph (2023-11)
      Article
      Open Access
      Systolic array architectures have recently emerged as successful accelerators for deep convolutional neural network (CNN) inference. Such architectures can be used to efficiently execute general matrix–matrix multiplications ...