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In-Situ Mitigation of Silent Data Corruption in PDE Solvers:

, In: Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale,

Salloum, Maher ; Mayo, Jackson R. ; Armstrong, Robert C. - p. 43-48 , 2016

Link: https://dl.acm.org/doi/10.1145/2909428.2909433

RT 
T1 <cTitle>Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale</cTitle>: T1 <Title>In-Situ Mitigation of Silent Data Corruption in PDE Solvers</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2909433&Exemplar=1&LAN=DE
				
A1 Salloum, Maher
A1 Mayo, Jackson R.
A1 Armstrong, Robert C.
PB ACM
YR 2016
K1 algorithm-based fault tolerance
K1 numerical methods
K1 partial differential equation
K1 resilience
K1 silent data corruption
K1 Software and its engineering
K1 Software organization and properties
K1 Extra-functional properties
K1 Software fault tolerance
K1 Computing methodologies
K1 Modeling and simulation
K1 Simulation types and techniques
K1 Massively parallel and high-performance simulations
K1 Hardware
K1 Robustness
K1 Hardware reliability
K1 Transient errors and upsets
K1 Mathematics of computing
K1 Mathematical analysis
K1 Differential equations
K1 Partial differential equations
SP 43
OP 48
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2909428.2909433
DO https://dl.acm.org/doi/10.1145/2909428.2909433
SF ELIB - SuUB Bremen

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