Ponències/Comunicacions de congressos
Recent Submissions
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Running OpenMp applications efficiently on an everything-shared SDSM
(Institute of Electrical and Electronics Engineers (IEEE), 2004)
Conference lecture
Open AccessTraditional software distributed shared memory (SDSM) systems modify the semantics of a real hardware shared memory system by relaxing the coherence semantic and by limiting the memory regions that are actually shared. ... -
Epicentral region estimation using convolutional neural networks
(Springer Nature, 2022)
Conference report
Open AccessRecent works have assessed the capability of deep neural networks of estimating the epicentral source region of a seismic event from a single-station three-channel signal. In all the cases, the geographical partitioning ... -
Malicious website detection through deep learning algorithms
(Springer Nature, 2022)
Conference report
Open AccessTraditional methods that detect malicious websites, such as blacklists, do not update frequently, and they cannot detect new attackers. A system capable of detecting malicious activity using Deep Learning (DL) has been ... -
Deep learning detection of GPS spoofing
(Springer Nature, 2022)
Conference report
Open AccessUnmanned aerial vehicles (UAVs) are widely deployed in air navigation, where numerous applications use them for safety-of-life and positioning, navigation, and timing tasks. Consequently, GPS spoofing attacks are more and ... -
SRAM arrays with built-in parity computation for real-time error detection in cache tag arrays
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessThis work proposes an SRAM array with built-in real-time error detection (RTD) capabilities. Each cell in the new RTD-SRAM array computes its part of the real-time parity of an SRAM array column on-the-fly. RTD based arrays ... -
2D error correction for F/F based arrays using in-situ Real-Time Error Detection (RTD)
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference lecture
Open AccessThis work proposes in-situ Real-Time Error Detection (RTD): embedding hardware in a memory array for detecting a fault in the array when it occurs, rather than when it is read. RTD breaks the serialization between data ... -
Random forest parameterization for earthquake catalog generation
(Springer, 2020)
Conference report
Open AccessAn earthquake is the vibration pattern of the Earth’s crust induced by the sliding of geological faults. They are usually recorded for later studies. However, strong earthquakes are rare, small-magnitude events may pass ... -
Privacy preserving deep learning framework in fog computing
(Springer, 2020)
Conference report
Open AccessNowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ... -
Lightweight protection of cryptographic hardware accelerators against differential fault analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessHardware acceleration circuits for cryptographic algorithms are largely deployed in a wide range of products. The HW implementations of such algorithms often suffer from a number of vulnerabilities that expose systems to ... -
Long short-term memory networks for earthquake detection in Venezuelan regions
(Springer, 2019)
Conference lecture
Open AccessReliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks ... -
Protecting RSA hardware accelerators against differential fault analysis through residue checking
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessHardware accelerators for cryptographic algorithms are ubiquitously deployed in nowadays consumer and industrial products. Unfortunately, the HW implementations of such algorithms often suffer from vulnerabilities that ... -
Challenges in deeply heterogeneous high performance systems
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessRECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring ...
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