3 citations · 9 across the 7 of their papers we have counts for
7 papers
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units
Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Fernando F. dos Santos +2
Graphics Processing Units (GPUs) are over-stressed to accelerate High-Performance Computing applications and are used to accelerate Deep Neural Networks in several domains where th…
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks
Fernando Fernandes dos Santos, Angeliki Kritikakou, Josie Esteban Rodriguez Condia +4
The reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic Processing Units (GPUs) is a challenging problem since the hardware architecture is highly complex and…
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Niccolò Cavagnero, Fernando Dos Santos, Marco Ciccone +3
Deep Neural Networks (DNNs) enable a wide series of technological advancements, ranging from clinical imaging, to predictive industrial maintenance and autonomous driving. However,…
QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits
Daniel Oliveira, Edoardo Giusto, Emanuele Dri +5
Quantum computing is a new technology that is expected to revolutionize the computation paradigm in the next few years. Qubits exploit the quantum physics proprieties to increase t…
A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits
Daniel Oliveira, Edoardo Giusto, Betis Baheri +3
Quantum computing is one of the most promising technology advances of the latest years. Once only a conceptual idea to solve physics simulations, quantum computation is today a rea…
Experimental Findings on the Sources of Detected Unrecoverable Errors in GPUs
Fernando Fernandes dos Santos, Sujit Malde, Carlo Cazzaniga +3
We investigate the sources of Detected Unrecoverable Errors (DUEs) in GPUs exposed to neutron beams. Illegal memory accesses and interface errors are among the more likely sources…
Estimating Silent Data Corruption Rates Using a Two-Level Model
Siva Kumar Sastry Hari, Paolo Rech, Timothy Tsai +7
High-performance and safety-critical system architects must accurately evaluate the application-level silent data corruption (SDC) rates of processors to soft errors. Such an evalu…