Articles de revista
Recent Submissions
-
Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case
(Elsevier, 2022-12-01)
Article
Restricted access - publisher's policyDeep Reinforcement Learning (DRL) has shown a dramatic improvement in decision-making and automated control problems. Consequently, DRL represents a promising technique to efficiently solve many relevant optimization ... -
Graph signal reconstruction techniques for IoT air pollution monitoring platforms
(Institute of Electrical and Electronics Engineers (IEEE), 2022-08-03)
Article
Open AccessAir pollution monitoring platforms play a very important role in preventing and mitigating the effects of pollution. Recent advances in the field of graph signal processing have made it possible to describe and analyze air ... -
A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields
(2022-09-09)
Article
Open AccessThe simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ... -
Building a Digital Twin for network optimization using graph neural networks
(2022-11-09)
Article
Open AccessNetwork modeling is a critical component of Quality of Service (QoS) optimization. Current networks implement Service Level Agreements (SLA) by careful configuration of both routing and queue scheduling policies. However, ... -
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
(2022-11)
Article
Restricted access - publisher's policyIn the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints: energy efficiency and thermal control; extreme computation efficiency ... -
ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning
(2022-09-04)
Article
Open AccessWide Area Networks (WAN) are a key infrastructure in today’s society. During the last years, WANs have seen a considerable increase in network’s traffic and network applications, imposing new requirements on existing network ... -
Vector extensions in COTS processors to increase guaranteed performance in real-time systems
(2022-08-31)
Article
Open AccessThe need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future ... -
SynFull-RTL: evaluation methodology for RTL NoC designs
(Institute of Electrical and Electronics Engineers (IEEE), 2022-12)
Article
Open AccessSynFull is a widely employed tool that generates realistic traffic patterns for the performance evaluation of a NoC. In this work, we identify the main limitations of SynFull: high variability and long simulation time and ... -
Amazon Alexa traffic traces
(2022-03)
Article
Open AccessThe number of devices that make up the Internet of Things (IoT) has been increasing every year, including smart speakers such as Amazon Echo devices. These devices have become very popular around the world where users with ... -
Data reconstruction applications for IoT air pollution sensor networks using graph signal processing
(Elsevier, 2022-09)
Article
Restricted access - publisher's policyThe analysis of sensor networks for air pollution monitoring is challenging. Recent studies have demonstrated the ability to reconstruct the network measurements with graphs derived from the acquired data, thus describing ... -
The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography
(Multidisciplinary Digital Publishing Institute, 2022-08-31)
Article
Open AccessFinding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. ... -
A BF16 FMA is all you need for DNN training
(Institute of Electrical and Electronics Engineers (IEEE), 2022-07-01)
Article
Open AccessFused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, ...
RSS 1.0