New high performance computing software for multiphysics simulations of fusion reactors

Gutierrez-Milla, Albert; Mantsinen, M.; Ávila, Matías; Houzeaux, Guillaume; Riera-Auge, Carles; Sáez, X.

doi:10.1016/j.fusengdes.2018.03.045

Cited by 3 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Validating NEUTRO 2 nodes and Open Multi-Processing (OpenMP) for shared-memory parallelism. Detailed descriptions of the structure of the Alya code can be found in references [4][5][6]. The visual post-processing of the results was performed with Paraview [7].…”

Section: Alya Uses the Message Passing Interface (Mpi) Library To Imp...mentioning

confidence: 99%

See 1 more Smart Citation

Validating NEUTRO, a deterministic finite element neutron transport solver for fusion applications, with literature tests, experimental benchmarks and other neutronic codes

Goldberg¹,

Duxans²,

Gelabert³

et al. 2022

Plasma Phys. Control. Fusion

View full text Add to dashboard Cite

Neutron reactions on fusion reactor materials are key phenomena to be understood to enable fusion as a feasible energy source for future reactors. We present significant improvements and validations of NEUTRO, a deterministic neutron transport code dedicated to solving the Boltzmann Transport Equation. The code is integrated as a module in the Alya system developed by the Barcelona Supercomputing Center and uses the Discrete Ordinates Method over an angular portion, multigroup for energy discretization and the Finite Element Method over unstructured meshes to treat special complex domains. Material anisotropy of the scattering medium is introduced into the scattering kernel using real base expressions for spherical harmonics. In order to build the total cross-section and the respective group matrix for the elastic cross-section, we use the NJOY code. We test the solver using different geometries and materials with varying levels of scattering properties. We compare our results on classic tests, benchmarks obtained from a Nuclear Energy Agency database and test cases using other neutron transport codes.

show abstract

Section: Alya Uses the Message Passing Interface (Mpi) Library To Imp...mentioning

confidence: 99%

“…Alya uses the message passing interface library to implement communications between computing nodes and open multi-processing for shared-memory parallelism. Detailed descriptions of the structure of the Alya code can be found in [4][5][6]. The visual postprocessing of the results was performed with Paraview [7].…”

Section: Introductionmentioning

confidence: 99%

Validating NEUTRO, a deterministic finite element neutron transport solver for fusion applications, with literature tests, experimental benchmarks and other neutronic codes

Goldberg¹,

Duxans²,

Gelabert³

et al. 2022

Plasma Phys. Control. Fusion

View full text Add to dashboard Cite

show abstract

“…The general stationary radiation transport equation solved at the moment in the NEUTRO module included in Alya has the following expression [7][8][9][10]:…”

Section: Numerical Radiation Transport Equationmentioning

confidence: 99%

“…Alya uses the Message Passing Interface (MPI) library to implement communications between nodes and Open Multi-Processing (OpenMP) for shared-memory parallelism. Detailed descriptions of the structure of the Alya code can be found in references [1,[6][7][8][9]. The visual post-processing of the results was performed with Paraview software [10].…”

Section: Introductionmentioning

confidence: 99%

Validations of the radiation transport module NEUTRO: A deterministic solver for the neutron transport equation

Soba

Cazado

Houzeaux

et al. 2021

Fusion Engineering and Design

Self Cite

View full text Add to dashboard Cite

“…With the advent of electronic and computing technology, large-scale computing systems have received substantial attention from the business, industry, and academic communities [1], [2]. Supercomputers ranked in the TOP500 list, such as Summit, Sierra, Tianhe-2A [3], have played key roles in large-scale data mining, astronomy, fractal calculations and simulations, civil engineering, seismic data process, and weather prediction.…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Computing Systems Workload Prediction Using Parallel Improved LSTM Neural Network

Tang

2019

IEEE Access

View full text Add to dashboard Cite

In recent years, large-scale computing systems have been widely used as an important part of the computing infrastructure. Resource management based on systems workload prediction is an effective way to improve application efficiency. However, accuracy and real-time functionalities are always the key challenges that perplex the systems workload prediction model. In this paper, we first investigate the dependence on historical workload in large-scale computing systems and build a day and time two-dimensional time-series workload model. We then design a two-dimensional long short-term memory (LSTM) neural network cell structure. Based on this, we propose an improved LSTM prediction model providing its mathematical description and an error back propagation method. Furthermore, to achieve systems resource management real-time requirement, we provide a parallel improved LSTM algorithm that uses a hidden layer week-based dependence and weights parallelization algorithm. The comparative studies, based on the actual workload of the Shanghai Supercomputer Center, demonstrate that our proposed improved LSTM neural network prediction model can achieve higher accuracy and real-time performance in large-scale computing systems. Workload prediction, computing systems, LSTM, neural network, parallel. INDEX TERMS

show abstract

New high performance computing software for multiphysics simulations of fusion reactors

Cited by 3 publications

References 6 publications

Validating NEUTRO, a deterministic finite element neutron transport solver for fusion applications, with literature tests, experimental benchmarks and other neutronic codes

Validating NEUTRO, a deterministic finite element neutron transport solver for fusion applications, with literature tests, experimental benchmarks and other neutronic codes

Validations of the radiation transport module NEUTRO: A deterministic solver for the neutron transport equation

Large-Scale Computing Systems Workload Prediction Using Parallel Improved LSTM Neural Network

Contact Info

Product

Resources

About