Doctorat en Arquitectura de Computadors
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Articles de revista [15]
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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 ... -
Application-level differential checkpointing for HPC applications with dynamic datasets
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessHigh-performance computing (HPC) requires resilience techniques such as checkpointing in order to tolerate failures in supercomputers. As the number of nodes and memory in supercomputers keeps on increasing, the size of ... -
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 ... -
Worst-case energy consumption: A new challenge for battery-powered critical devices
(Institute of Electrical and Electronics Engineers (IEEE), 2019-09-24)
Article
Open AccessThe number of devices connected to the IoT is on the rise, reaching hundreds of billions in the next years. Many devices will implement some type of critical functionality, for instance in the medical market. Energy awareness ... -
STT-MRAM for real-time embedded systems: performance and WCET implications
(Association for Computing Machinery (ACM), 2019)
Conference report
Open AccessSTT-MRAM is an emerging non-volatile memory quickly approaching DRAM in terms of capacity, frequency and device size. Intensified efforts in STT-MRAM research by the memory manufacturers may indicate a revolution with ... -
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 ... -
Continuous-action reinforcement learning for memory allocation in virtualized servers
(Springer, 2019)
Conference report
Open AccessIn a virtualized computing server (node) with multiple Virtual Machines (VMs), it is necessary to dynamically allocate memory among the VMs. In many cases, this is done only considering the memory demand of each VM without ... -
Randomization for safer, more reliable and secure, high-performance automotive processors
(Institute of Electrical and Electronics Engineers (IEEE), 2019-12)
Article
Open AccessThe automotive domain is witnessing a relentless transition to autonomous cars demanding high-performance processors to timely execute complex, critical, decision-making software. The other side of the coin is that ... -
Modeling the impact of process variations in worst-case energy consumption estimation
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessThe advent of autonomous power-limited systems poses a new challenge for system verification. Powerful processors needed to enable autonomous operation, are typically power-hungry, jeopardizing battery duration. Therefore, ... -
Software-only diverse redundancy on GPUs for autonomous driving platforms
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessAutonomous driving (AD) builds upon high-performance computing platforms including (1) general purpose CPUs as well as (2) specific accelerators, being GPUs one of the main representatives. Microcontrollers have reached ... -
An approach for detecting power peaks during testing and breaking systematic pathological behavior
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessThe verification and validation process of embedded critical systems requires providing evidence of their functional correctness and also that their non-functional behavior stays within limits. In this work, we focus on ...
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