Abstract: The present work is devoted to performance evaluation of a multicore CPU Elbrus-8C in supercomputer computational fluid dynamics (CFD) applications. Parallel simulation codes based on higher-accuracy methods on unstructured meshes for modelling of turbulent flows are considered. Main features of the Elbrus architecture are described. Approaches for adaptation and optimization of computing software are presented. Performance has been investigated for the whole algorithms and for their main operations separately. Benchmarking results in comparison with various Intel and AMD multicore CPUs are presented.Note: Research direction:Programming, parallel computing, multimedi
This paper presents a number of optimisations for improving the performance of unstructured computat...
A parallel finite-volume CFD algorithm for modeling of incompressible flows on hybrid supercomputers...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
Modern multicore and manycore processors exhibit multiple levels of parallelism through a wide range...
AbstractModern multicore and manycore processors exhibit multiple levels of parallelism through a wi...
This thesis documents the analysis and optimization of a high-order finite difference computational ...
The performance of hypercubes were evaluated on a computational fluid dynamics problem and the paral...
The growing variety of computing architectures and the hybridization of high-performance computing s...
The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel ...
High-performance parallel computer systems have been employed to compute a variety of three-dimensio...
One or the key objectives of the Applied Research Branch in the Numerical Aerodynamic Simulation (NA...
CFD or Computational Fluid Dynamics is one of the scientific disciplines that has always posed new c...
Computational fluid dynamics (CFD) is a powerful tool for the simulation of complex fluid dynamics p...
In this paper, we have tested the parallel performance of an Intel Xeon-based Linux PC cluster using...
This work is aimed to exploit the computational capabilities of nowadays workstations by building al...
This paper presents a number of optimisations for improving the performance of unstructured computat...
A parallel finite-volume CFD algorithm for modeling of incompressible flows on hybrid supercomputers...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...
Modern multicore and manycore processors exhibit multiple levels of parallelism through a wide range...
AbstractModern multicore and manycore processors exhibit multiple levels of parallelism through a wi...
This thesis documents the analysis and optimization of a high-order finite difference computational ...
The performance of hypercubes were evaluated on a computational fluid dynamics problem and the paral...
The growing variety of computing architectures and the hybridization of high-performance computing s...
The purpose of the work is twofold. Firstly, it is devoted to the development of efficient parallel ...
High-performance parallel computer systems have been employed to compute a variety of three-dimensio...
One or the key objectives of the Applied Research Branch in the Numerical Aerodynamic Simulation (NA...
CFD or Computational Fluid Dynamics is one of the scientific disciplines that has always posed new c...
Computational fluid dynamics (CFD) is a powerful tool for the simulation of complex fluid dynamics p...
In this paper, we have tested the parallel performance of an Intel Xeon-based Linux PC cluster using...
This work is aimed to exploit the computational capabilities of nowadays workstations by building al...
This paper presents a number of optimisations for improving the performance of unstructured computat...
A parallel finite-volume CFD algorithm for modeling of incompressible flows on hybrid supercomputers...
Computational fluid dynamics (CFD) is the main field of computational mechanics that has historicall...