Ponències/Comunicacions de congressos
Recent Submissions
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How to initialize your network? Robust initialization for WeightNorm & ResNets
(2019)
Conference lecture
Open AccessResidual networks (ResNet) and weight normalization play an important role in various deep learning applications. However, parameter initialization strategies have not been studied previously for weight normalized networks ... -
Knowledge management in optical networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAutonomous network operation realized by means of control loops, where prediction from machine learning (ML) models is used as input to proactively reconfigure individual optical devices or the whole optical network, has ... -
An experimental study of reduced-voltage operation in modern FPGAs for neural network acceleration
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessWe empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field ... -
POSTER: SPiDRE: accelerating sparse memory access patterns
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessDevelopment in process technology has led to an exponential increase in processor speed and memory capacity. However, memory latencies have not improved as dramatically and represent a well-known problem in computer ... -
A novel FPGA-based high throughput accelerator for binary search trees
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessThis paper presents a deeply pipelined and massively parallel Binary Search Tree (BST) accelerator for Field Programmable Gate Arrays (FPGAs). Our design relies on the extremely parallel on-chip memory, or Block RAMs (BRAMs) ... -
Distributed and centralized options for self-learning
(2019)
Conference report
Open AccessIn general, the availability of enough real data from real fog computing scenarios to produce accurate Machine Learning (ML) models is rarely ensured since new equipment, techniques, etc., are continuously ... -
Soft-failure localization and time-dependent degradation detection for network diagnosis
(2020)
Conference report
Open AccessIn optical networks, degradation of the Quality of Transmission (QoT) can be the outcome of soft-failures in optical devices, like Optical Transponders, Wavelength Selective Switches (WSS) and Optical ... -
Distributed access control with blockchain
(2019)
Conference report
Restricted access - publisher's policyThe specification and enforcement of network-wide policies in a single administrative domain is common in today's networks and considered as already resolved. However, this is not the case for multi-administrative domains, ... -
Design space exploration of next-generation HPC machines
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - confidentiality agreementThe landscape of High Performance Computing (HPC) system architectures keeps expanding with new technologies and increased complexity. With the goal of improving the efficiency of next-generation large HPC systems, designers ... -
Soft-failure localization and device working parameters estimation in disaggregated scenarios
(2020)
Conference report
Restricted access - publisher's policyA soft-failure localization and key working parameters estimation system is proposed for network diagnosis and maintenance. We show that a double analysis of monitoring data and estimated working parameters ... -
Adaptation of the residual signal for filter failure detection in scenarios with multiple filter types
(2019)
Conference report
Open AccessTo monitor the optical spectra of outgoing links, Optical Spectrum Analyzers (OSA) can deployed in the optical nodes acquiring the optical spectra of outgoing links and analyzing optical signals to detect ... -
Enhancing resource management through prediction-based policies
(Springer, 2020)
Conference report
Open AccessTask-based programming models are emerging as a promising alternative to make the most of multi-/many-core systems. These programming models rely on runtime systems, and their goal is to improve application performance by ...
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