GPU devices for safety-critical systems: A survey

J Perez-Cerrolaza, J Abella, L Kosmidis… - ACM Computing …, 2022 - dl.acm.org
Graphics Processing Unit (GPU) devices and their associated software programming
languages and frameworks can deliver the computing performance required to facilitate the …

Optimization of advanced encryption standard on graphics processing units

C Tezcan - IEEE Access, 2021 - ieeexplore.ieee.org
Graphics processing units (GPUs) are specially designed for parallel applications and
perform parallel operations much faster than central processing units (CPUs). In this work …

Hard data on soft errors: A large-scale assessment of real-world error rates in gpgpu

IS Haque, VS Pande - … Conference on Cluster, Cloud and Grid …, 2010 - ieeexplore.ieee.org
Graphics processing units (GPUs) are gaining widespread use in high-performance
computing because of their performance advantages relative to CPUs. However, the …

GPU-acceleration for moving particle semi-implicit method

C Hori, H Gotoh, H Ikari, A Khayyer - Computers & Fluids, 2011 - Elsevier
The MPS (Moving Particle Semi-implicit) method has been proven useful in computation free-
surface hydrodynamic flows. Despite its applicability, one of its drawbacks in practical …

A high-performance fault-tolerant software framework for memory on commodity gpus

N Maruyama, A Nukada… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
As GPUs are increasingly used to accelerate HPC applications by allowing more flexibility
and programmability, their fault tolerance is becoming much more important than before …

RISE: Improving the streaming processors reliability against soft errors in GPGPUs

J Tan, X Fu - Proceedings of the 21st international conference on …, 2012 - dl.acm.org
With hundreds of cores integrated into a single chip, the general-purpose computing on
graphic processing units (GPGPUs) provide high computing power to accelerate parallel …

Soft error resilient QR factorization for hybrid system with GPGPU

P Du, P Luszczek, S Tomov, J Dongarra - Proceedings of the second …, 2011 - dl.acm.org
The general purpose graphics processing units (GPGPU) are increasingly deployed for
scientific computing due to their performance advantages over CPUs. As a result, fault …

Fault-tolerant distributed logistic regression using unreliable components

Y Yang, P Grover, S Kar - 2016 54th Annual Allerton …, 2016 - ieeexplore.ieee.org
We consider the problem of computing distributed logistic regression using unreliable
components. We consider both faults in the memory units and faults in the processing units …

Flexible soft error mitigation strategy for memories in mixed-critical systems

A Kajmakovic, K Diwold, N Kajtazovic… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
As memories are becoming a ubiquitous and indispensable part of electronic devices across
all industrial domains, the importance of their reliability and fault-tolerance increases. This …

Flipsphere: A software-based DRAM error detection and correction library for HPC

D Fiala, F Mueller, KB Ferreira - 2016 IEEE/ACM 20th …, 2016 - ieeexplore.ieee.org
Proposed exascale systems will present considerable challenges. In particular, DRAM soft-
errors, or bit-flips, are expected to greatly increase due to higher memory densities and near …