Ponències/Comunicacions de congressos
Recent Submissions
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Heuristic-based task-to-thread mapping in multi-core processors
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessOpenMP can be used in real-time applications to enhance system performance. However, predictability of OpenMP applications is still a challenge. This paper investigates heuristics for the mapping of OpenMP task graphs in ... -
OmpSs-2@Cluster: Distributed memory execution of nested OpenMP-style tasks
(Springer Nature, 2022)
Conference report
Restricted access - publisher's policyState-of-the-art programming approaches generally have a strict division between intra-node shared memory parallelism and inter-node MPI communication. Tasking with dependencies offers a clean, dependable abstraction for ... -
Sliding window support for image processing in autonomous vehicles
(2022)
Conference report
Open AccessCamera-based autonomous driving extensively ma-nipulates images for object detection, object tracking, or camera-based localization tasks. Therefore, efficient and fast image processing is crucial in those systems. ... -
Functional and timing implications of transient faults in critical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessEmbedded systems in critical domains, such as auto-motive, aviation, space domains, are often required to guarantee both functional and temporal correctness. Considering transient faults, fault analysis and mitigation ... -
Sources of single event effects in the NVIDIA Xavier SoC family under proton irradiation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessIn this paper we characterise two embedded GPU devices from the NVIDIA Xavier family System-on-Chip (SoC) using a proton beam. We compare the NVIDIA Xavier NX and Industrial devices, that respectively target commercial and ... -
DTexL: Decoupled raster pipeline for texture locality
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessContemporary GPU architectures have multiple shader cores and a scheduler that distributes work (threads) among them, focusing on load balancing. These load balancing techniques favor thread distributions that are detrimental ... -
End-to-end QoS for the open source safety-relevant RISC-V SELENE platform
(arXiv, 2022)
Conference report
Open AccessThis paper presents the end-to-end QoS approach to provide performance guarantees followed in the SELENEplatform, a high-performance RISC-V based heterogeneous SoC for safety-related real-time systems. Our QoS approach ... -
Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference lecture
Open AccessIncreasing a ML model accuracy is not enough, we must also increase its trustworthiness. This is an important step for building resilient AI systems for safety-critical applications such as automotive, finance, and healthcare. ... -
SafeSoftDR: A library to enable software-based diverse redundancy for safety-critical tasks
(arXiv, 2022)
Conference report
Open AccessApplications with safety requirements have become ubiquitous nowadays and can be found in edge devices of all kinds. However, microcontrollers in those devices, despite offering moderate performance by implementing multicores ... -
OmpSs@cloudFPGA: An FPGA task-based programming model with message passing
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessNowadays, a new parallel paradigm for energy-efficient heterogeneous hardware infrastructures is required to achieve better performance at a reasonable cost on high-performance computing applications. Under this new paradigm, ... -
RouteNet-Erlang: A graph neural network for network performance evaluation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessNetwork modeling is a fundamental tool in network research, design, and operation. Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is that it imposes strong assumptions on the ... -
Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThe recent growth of emergent network applications (e.g., satellite networks, vehicular networks) is increasing the complexity of managing modern communication networks. As a result, the community proposed the Digital Twin ...
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