Browsing by Author "Cazorla Almeida, Francisco Javier"
Now showing items 1-20 of 148
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A cache design for probabilistically analysable real-time systems
(2013)
Conference report
Restricted access - publisher's policyCaches 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
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Open AccessObtaining 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
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessMachine 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 methodology for selective protection of matrix multiplications: A diagnostic coverage and performance trade-off for CNNs executed on GPUs
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThe 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
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference lecture
Open AccessThe 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 software-only approach to enable diverse redundancy on Intel GPUs for safety-related kernels
(Association for Computing Machinery (ACM), 2023)
Conference report
Open AccessAutonomous 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 ... -
Accurately measuring contention in Mesh NoCs in time-sensitive embedded systems
(Association for Computing Machinery (ACM), 2023-05)
Article
Open AccessThe 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 timing composability with measurement-based probabilistic timing analysis
(2013)
Conference report
Restricted access - publisher's policyProbabilistic 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 ... -
ADBench: benchmarking autonomous driving systems
(2022)
Article
Open AccessDriven 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 ... -
An academic RISC-V silicon implementation based on open-source components
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessThe 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 analyzable memory controller for hard real-time CMPs
(2010-02-05)
Article
Open AccessMulticore processors (CMPs) represent a good solution to provide the performance required by current and future hard real-time systems. However, it is difficult to compute a tight WCET estimation for CMPs due to interferences ... -
An approach for detecting power peaks during testing and breaking systematic pathological behavior
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessThe 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
(2023-05)
Article
Restricted access - publisher's policyThe 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 on-board algorithm implementation on an embedded GPU: A space case study
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessOn-board processing requirements of future space missions are constantly increasing, calling for new hardware than the traditional ones used in space. Embedded GPUs are an attractive candidate offering both high performance ... -
Applying measurement-based probabilistic timing analysis to buffer resources
(2013)
Conference report
Open AccessThe use of complex hardware makes it difficult for current timing analysis techniques to compute trustworthy and tight worst-case execution time (WCET) bounds. Those techniques require detailed knowledge of the internal ... -
Architectural support for real-time task scheduling in SMT processors
(2005)
Research report
Open AccessIn Simultaneous Multithreaded (SMT) architectures most hardware resources are shared between threads. This provides a good cost/performance trade-off which renders these architectures suitable for use in embedded systems. ... -
Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey
(ACM Computing Surveys, 2024)
Article
Open AccessArtificial Intelligence (AI) can enable the development of next-generation autonomous safety-critical systems in which Machine Learning (ML) algorithms learn optimized and safe solutions. AI can also support and assist ... -
ASCOM: Affordable Sequence-aware COntention Modeling in crossbar-based MPSoCs
(Association for Computing Machinery (ACM), 2023)
Conference lecture
Open AccessMulticore interference that arises when several accesses contend for the same shared hardware resources poses a challenge to the already demanding consolidated verification and validation practice. The Sequence-Aware Pairing ... -
Bus designs for time-probabilistic multicore processors
(European Interactive Digital Advertising Alliance (EDAA), 2014)
Conference report
Restricted access - publisher's policyProbabilistic Timing Analysis (PTA) reduces the amount of information needed to provide tight WCET estimates in real-time systems with respect to classic timing analysis. PTA imposes new requirements on hardware design ... -
Cache side-channel attacks and time-predictability in high-performance critical real-time systems
(Association for Computing Machinery (ACM), 2018-06-24)
Conference lecture
Open AccessEmbedded computers control an increasing number of systems directly interacting with humans, while also manage more and more personal or sensitive information. As a result, both safety and security are becoming ubiquitous ...
