High-Performance Computing Applications in Numerical Simulation and Edge Computing

2019 ◽  
Keyword(s):  
Numerical Simulation ◽  
High Performance Computing ◽  
High Performance ◽  
Edge Computing ◽  
Performance Computing

On Direct Numerical Simulation of Turbulent Flows

2011 ◽  
Vol 64 (2) ◽  
Author(s):  
Giancarlo Alfonsi
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
High Performance Computing ◽  
Turbulent Flows ◽  
High Performance ◽  
Stokes Equations ◽  
Navier Stokes ◽  
Turbulent Shear ◽  
Navier Stokes Equations ◽  
Performance Computing

The direct numerical simulation of turbulence (DNS) has become a method of outmost importance for the investigation of turbulence physics, and its relevance is constantly growing due to the increasing popularity of high-performance-computing techniques. In the present work, the DNS approach is discussed mainly with regard to turbulent shear flows of incompressible fluids with constant properties. A body of literature is reviewed, dealing with the numerical integration of the Navier-Stokes equations, results obtained from the simulations, and appropriate use of the numerical databases for a better understanding of turbulence physics. Overall, it appears that high-performance computing is the only way to advance in turbulence research through the front of the direct numerical simulation.

High-Performance Computing in Edge Computing Networks

2019 ◽  
Vol 123 ◽  
pp. 230 ◽  
Author(s):  
Wanqing Tu ◽  
Florin Pop ◽  
Weijia Jia ◽  
Jie Wu ◽  
Mauro Iacono
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Edge Computing ◽  
Performance Computing

scholarly journals Direct numerical simulation of reactor two-phase flows enabled by high-performance computing

2018 ◽  
Vol 330 ◽  
pp. 409-419 ◽  
Author(s):  
Jun Fang ◽  
Joseph J. Cambareri ◽  
Cameron S. Brown ◽  
Jinyong Feng ◽  
Andre Gouws ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
High Performance Computing ◽  
High Performance ◽  
Two Phase Flows ◽  
Two Phase ◽  
Performance Computing

scholarly journals Open Source Software to Visualize Complex Data on Remote CEA's Supercomputing Facilities

2014 ◽  
Author(s):  
Fabien Vivodtzev ◽  
Thierry Carrard
Keyword(s):  
Numerical Simulation ◽  
Open Source ◽  
High Performance Computing ◽  
Open Source Software ◽  
High Performance ◽  
End Users ◽  
Dynamics Simulation ◽  
Complex Data ◽  
Simulation Code ◽  
Performance Computing

In order to guaranty performances of complex systems using numerical simulation, CEA is performing advanced data analysis and scientific visualization with open source software using High Performance Computing (HPC) capability. The diversity of the physics to study produces results of growing complexity in terms of large-scale, high dimensional and multivariate data. Moreover, the HPC approach introduces another layer of complexity by allowing computation amongst thousands of remote cores accessed from sites located hundreds of kilometers away from the computing facility. This paper presents how CEA deploys and contributes to open source software to enable production class visualization tools in a high performance computing context. Among several open source projects used at CEA, this presentation will focus on Visit, VTK and Paraview. In the first part we will address specific issues encountered when deploying VisIt and Paraview in a multi-site supercomputing facility for end-users. Several examples will be given on how such tools can be adapted to take advantage of a parallel setting to explore large multi-block dataset or perform remote visualization on material interface reconstructions of billions of cells. Then, the specific challenges faced to deliver Paraview’s Catalyst capabilities to end-users will be discussed. In the second part, we will describe how CEA contributes to open source visualization software and associated software development strategy by emphasizing on two recent development projects. The first is an integrated simulation workbench providing plugins for every step required to achieve numerical simulation independently on a local or a remote computer. Embedded in an Eclipse RCP environment, VTK views allow the users to perform data input using interaction or mesh preview before running the simulation code. Contributions to VTK have been made in order to smoothly integrate these technologies. The second details how recent developments at CEA have helped to visualize and to analyze results from ExaStamp, a parallel molecular dynamics simulation code dealing with molecular systems ranging from a few millions up to a billion atoms. These developments include a GPU intensive rendering method specialized for atoms and specific parallel algorithms to process molecular data sets.

Algorithm for Numerical Simulation of the Coastal Bottom Relief Dynamics Using High-Performance Computing

2020 ◽  
pp. 279-290
Author(s):  
Alexander I. Sukhinov ◽  
Alexander E. Chistyakov ◽  
Elena A. Protsenko ◽  
Valentina V. Sidoryakina ◽  
Sofya V. Protsenko
Keyword(s):  
Numerical Simulation ◽  
High Performance Computing ◽  
High Performance ◽  
Bottom Relief ◽  
Performance Computing
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