Research graph
References from Research on a GPU-parallelized method for large-scale fault trees importance analysis in NPPs. Local targets link to admitted publications; unresolved targets remain external evidence.
Application of dynamic fault tree analysis to prioritize electric power systems in nuclear power plants
10.3390/en14144119 · 2021 · External reference
Component fragility for use in PSA of nuclear power plant
10.1016/j.nucengdes.2016.10.018 · 2017 · External reference
Fast parallel genetic programming: multi-core CPU versus many-core GPU
10.1007/s00500-012-0862-0 · 2012 · External reference
A methodology for comparing the reliability of GPU-based and CPU-based HPCs
2020 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2022 · External reference
A method to improve cutset probability calculation in probabilistic safety assessment of nuclear power plants
10.1016/j.ress.2014.10.019 · 2015 · External reference
Parallel Computing Methods for Efficiently Solving Fault Trees in Probabilistic Safety Assessments
2025 · External reference
Multi-GPU approach to global induction of classification trees for large-scale data mining
10.1007/s10489-020-01952-5 · 2021 · External reference
Adaptive in-memory representation of decision trees for GPU-accelerated evolutionary induction
10.1016/j.future.2023.12.003 · 2024 · External reference
Probabilistic risk assessment framework for structural systems under multiple hazards using Bayesian statistics
10.1016/j.nucengdes.2017.02.009 · 2017 · External reference
Consequence severity-probability importance measure for fault tree analysis
10.1007/s13198-023-02162-1 · 2024 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2024 · External reference
CUDT: a CUDA based decision tree algorithm
10.1155/2014/745640 · 2014 · External reference
A GPU-accelerated linear system solution for the Galerkin finite element method applied to neutron diffusion equation
10.1016/j.nucengdes.2024.113103 · 2024 · External reference
Method for scalable and performant GPU-accelerated simulation of multiphase compressible flow
10.1016/j.cpc.2024.109238 · 2024 · External reference
A Monte Carlo augmented Bayesian network approach for external flood PRAs
10.1016/j.nucengdes.2025.113840 · 2025 · External reference
Unresolved reference
2021 · External reference
Parallel fault tree analysis for accurate reliability of complex systems
10.1016/j.strusafe.2017.12.003 · 2018 · External reference
Parallel construction of classification trees on a GPU
10.1002/cpe.3660 · 2016 · External reference
Importance measure evaluation based on sensitivity coefficient for probabilistic risk assessment
10.1016/j.ress.2023.109205 · 2023 · External reference
Analytical calculation and rapid simulation of survival signatures in dynamic fault trees with priority-AND gates
10.1109/tr.2022.3214975 · 2023 · External reference
Dynamic PRA prospects for the nuclear industry
10.3389/fenrg.2021.750453 · 2021 · External reference
Emergency decision support techniques for nuclear power plants: current state, challenges, and future trends
10.3390/en17102439 · 2024 · External reference
The role of risk-informed approaches for advanced reactors in Korea
10.1016/j.nucengdes.2023.112805 · 2024 · External reference
Parallel construction of classification trees on a GPU
10.1002/cpe.3660 · ExternalCitation · doi-reference
Fast parallel genetic programming: multi-core CPU versus many-core GPU
10.1007/s00500-012-0862-0 · ExternalCitation · doi-reference
Multi-GPU approach to global induction of classification trees for large-scale data mining
10.1007/s10489-020-01952-5 · ExternalCitation · doi-reference
Consequence severity-probability importance measure for fault tree analysis
10.1007/s13198-023-02162-1 · ExternalCitation · doi-reference
Method for scalable and performant GPU-accelerated simulation of multiphase compressible flow
10.1016/j.cpc.2024.109238 · ExternalCitation · doi-reference
Adaptive in-memory representation of decision trees for GPU-accelerated evolutionary induction
10.1016/j.future.2023.12.003 · ExternalCitation · doi-reference
Component fragility for use in PSA of nuclear power plant
10.1016/j.nucengdes.2016.10.018 · ExternalCitation · doi-reference
Probabilistic risk assessment framework for structural systems under multiple hazards using Bayesian statistics
10.1016/j.nucengdes.2017.02.009 · ExternalCitation · doi-reference
The role of risk-informed approaches for advanced reactors in Korea
10.1016/j.nucengdes.2023.112805 · ExternalCitation · doi-reference
A GPU-accelerated linear system solution for the Galerkin finite element method applied to neutron diffusion equation
10.1016/j.nucengdes.2024.113103 · ExternalCitation · doi-reference
A Monte Carlo augmented Bayesian network approach for external flood PRAs
10.1016/j.nucengdes.2025.113840 · ExternalCitation · doi-reference
A method to improve cutset probability calculation in probabilistic safety assessment of nuclear power plants
10.1016/j.ress.2014.10.019 · ExternalCitation · doi-reference
Importance measure evaluation based on sensitivity coefficient for probabilistic risk assessment
10.1016/j.ress.2023.109205 · ExternalCitation · doi-reference
Parallel fault tree analysis for accurate reliability of complex systems
10.1016/j.strusafe.2017.12.003 · ExternalCitation · doi-reference
Analytical calculation and rapid simulation of survival signatures in dynamic fault trees with priority-AND gates
10.1109/tr.2022.3214975 · ExternalCitation · doi-reference
CUDT: a CUDA based decision tree algorithm
10.1155/2014/745640 · ExternalCitation · doi-reference
Dynamic PRA prospects for the nuclear industry
10.3389/fenrg.2021.750453 · ExternalCitation · doi-reference
Application of dynamic fault tree analysis to prioritize electric power systems in nuclear power plants
10.3390/en14144119 · ExternalCitation · doi-reference
Emergency decision support techniques for nuclear power plants: current state, challenges, and future trends
10.3390/en17102439 · ExternalCitation · doi-reference
