Ponències/Comunicacions de congressos
Recent Submissions
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Tailwind: Fast and atomic RDMA-based replication
(USENIX Association, 2018)
Conference report
Open AccessReplication is essential for fault-tolerance. However, in in-memory systems, it is a source of high overhead. Remote direct memory access (RDMA) is attractive to create redundant copies of data, since it is low-latency and ... -
On the resilience of deep learning for reduced-voltage FPGAs
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessDeep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solution that can satisfy these requirements for ... -
Evaluating built-in ECC of FPGA on-chip memories for the mitigation of undervolting faults
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessVoltage underscaling below the nominal level is an effective solution for improving energy efficiency in digital circuits, e.g., Field Programmable Gate Arrays (FPGAs). However, further undervolting below a safe voltage ... -
Towards specification of a software architecture for cross-sectoral big data applications
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessThe proliferation of Big Data applications puts pressure on improving and optimizing the handling of diverse datasets across different domains. Among several challenges, major difficulties arise in data-sensitive domains ... -
Real-time logo detection in brand-related social media images
(Springer, 2019)
Conference report
Open AccessThis paper presents a work consisting in using deep convolutional neural networks (CNNs) for real-time logo detection in brand-related social media images. The final goal is to facilitate searching and discovering ... -
A semantic model to fight social exclusion
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Open AccessThis work presents a semantic model meant to help with the identification and prediction of individuals at risk of social exclusion. The model is based on the self-sufficiency matrix, a tool that evaluates a person's ... -
Ground-truth prediction to accelerate soft-error impact analysis for iterative methods
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessUnderstanding the impact of soft errors on applications can be expensive. Often, it requires an extensive error injection campaign involving numerous runs of the full application in the presence of errors. In this paper, ... -
Drone navigation and avoidance of obstacles through deep reinforcement learning
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessUnmanned aerial vehicles (UAV) specifically drones have been used for surveillance, shipping and delivery, wildlife monitoring, disaster management etc. The increase on the number of drones in the airspace worldwide will ... -
The future of drones and their public acceptance
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessAny emergent technology in history has raised an initial rejection by part of the society. Added to the several problems that the non-mature technology may have, the lack of any previous experience about side effects and ... -
DRAM errors in the field: a statistical approach
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessThis paper summarizes our two-year study of corrected and uncor-rected errors on the MareNostrum 3 supercomputer, covering 2000 billion MB-hours of DRAM in the field. The study analyzes 4.5 million corrected and 71 uncorrected ... -
Optimization of condensed matter physics application with OpenMP tasking model
(Springer, 2019)
Conference report
Open AccessThe Density Matrix Renormalization Group (DMRG++) is a condensed matter physics application used to study superconductivity properties of materials. It’s main computations consist of calculating hamiltonian matrix which ... -
BLAS-3 optimized by OmpSs regions (LASs library)
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessIn this paper we propose a set of optimizations for the BLAS-3 routines of LASs library (Linear Algebra routines on OmpSs) and perform a detailed analysis of the impact of the proposed changes in terms of performance and ...
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