3 citations · 4 across the 5 of their papers we have counts for
6 papers
GPU Under Pressure: Estimating Application's Stress via Telemetry and Performance Counters
Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie Esteban Rodriguez Condia +3
Graphics Processing Units (GPUs) are specialized accelerators in data centers and high-performance computing (HPC) systems, enabling the fast execution of compute-intensive applica…
Evaluating Different Fault Injection Abstractions on the Assessment of DNN SW Hardening Strategies
Giuseppe Esposito, Juan David Guerrero-Balaguera, Josie Esteban Rodriguez Condia +1
The reliability of Neural Networks has gained significant attention, prompting efforts to develop SW-based hardening techniques for safety-critical scenarios. However, evaluating h…
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…
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections
Juan-David Guerrero-Balaguera, Luigi Galasso, Robert Limas Sierra +1
Currently, Deep learning and especially Convolutional Neural Networks (CNNs) have become a fundamental computational approach applied in a wide range of domains, including some saf…
A Novel Compaction Approach for SBST Test Programs
Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Matteo Sonza Reorda
In-field test of processor-based devices is a must when considering safety-critical systems (e.g., in robotics, aerospace, and automotive applications). During in-field testing, di…