YALES2 public page

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(Open Positions)
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More information may be found in the following presentation: [[media:yales2_course.pdf | YALES2 presentation]]
 
More information may be found in the following presentation: [[media:yales2_course.pdf | YALES2 presentation]]
  
== Team ==
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== Community ==
  
[[File:team_y2.jpg | center | thumb | 500px | Yales2 users and developers at CORIA, October 2021 [[User | (Users page) ]] ]]
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There is today more than 500 researchers/engineers who were trained by the CORIA since 2009. The community regroup academic partners, HPC centers, industrial partners, HPC expert, SMEs and more.
  
== Open Positions ==
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[[File:Network.jpg | center | thumb | 700px | YALES2 network]]
  
You want to join the YALES2 Network? We may have open positions for training periods, Ph. D. or Postdoctoral positions!
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== Commitments ==
  
Check  [[open_positions|this page]] to discover them!
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The YALES2 team is committed to supporting code users through training, meetings, projects or events.
  
== Solvers ==
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[[File:Commitment.jpg | center | thumb | 700px | YALES2 team commitment]]
  
YALES2 is based on a large numerical library to handle partitioned meshes, various differential operators or linear solvers, and on a series of simple or more complex solvers.
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Here an example of event you can participate to:
* Scalar solver ('''SCS''')
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* Level set solver ('''LSS''')
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* Incompressible solver ('''ICS''')
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* Variable density solver ('''VDS''')
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* Spray solver ('''SPS''' = '''ICS''' + '''LSS''' + Ghost-Fluid Method)
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* Lagrangian solver ('''LGS''')
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* Compressible solver ('''ECS''')
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* Magneto-hydrodynamic solver ('''MHD''')
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* Mesh movement solver ('''MMS''')
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* Radiative solver ('''RDS''')
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* Linear acoustics solver ('''ACS''')
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* Heat transfers solver ('''HTS''')
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* Immersed boundary solver ('''IBS''')
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* Granular Flow solver ('''GFS''')
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== Models ==
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[[File:Extreme CFD.jpg | center | thumb | 700px | Extreme CFD event, https://ecfd.coria-cfd.fr/index.php/Ecfd:ecfd_4th_edition]]
* Turbulence (Large-Eddy Simulation)
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** Constant Smagorinsky
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** Localized dynamic Smagorinsky
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** WALE
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** SIGMA
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* Mixing
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** Constant Schmidt number
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** Dynamic Schmidt number
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* Combustion
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** Boger’s model for premixed combustion
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** Infinitely fast chemistry with rho and T from 1D tables
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** Realistic chemistry: PCM-FPI with arbitrary number of dimensions and spacing + automatic chemtable builder in HDF5 based on Cantera
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* Two-phase
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** Primary atomization: Ghost-Fluid Method + Conservative level set
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** Spray transport: Lagrangian particles with two-way coupling through drag and single-component evaporation.  
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** Wall splashing: Lagrangian spray + Ghost-Fluid Method + Conservative level set
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== Numerics ==
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== YALES2 Library and solvers ==
* Spatial: 2nd- and 4th-order finite-volume schemes
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* Temporal:
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** 4th-order explicit time integration (RK4 and TFV4A) of convective terms
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** explicit and implicit diffusion and source terms
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* Stabilization: Cook & Cabot 4th-order artificial viscosity
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* Linear solvers:
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** PCG
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** BICGSTAB, BICGSTAB2, BICGSTAB(2)
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** Deflated PCG
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** Deflated BICGSTAB(2)
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** Residual recycling
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== Data Structures ==
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The numerical library YALES2LIB consists of all the numerical methods required to develop solvers:
* 1D, 2D, 3D unstructured solver
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* Full dual decomposition based on METIS
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* Data registration (int, real, char, node, elem, face, pair, scalar, vector, tensor)
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* Optimized non-blocking MPI communications
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* Parallel load balancing
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* Automatic reconnection of periodic boundaries
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* Automatic homogeneous mesh refinement
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* IO formats: Gambit (Fluent), Ensight, prepartionned HDF5 (XDMF) with compression
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* Cartesian mesh generator
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* Partitioned mesh support for HDF5 independent of the number of processors
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* Parallel interpolator for partitioned HDF5 meshes
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* Automatic sponge layers
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* Built-in Gaussian filters of arbitrary size
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== Software engineering ==
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[[File:Library.jpg | center | thumb | 800px | YALES2 library]]
* 280,000 lines of code
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* Object-oriented fortran with modules (f90)
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We have plenty of solvers today, here are the principals:
* Version management with SVN
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* Inline documentation in the source code (XML + Latex)
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[[File:Solvers.jpg | center | thumb | 700px | YALES2 solvers]]
* GUI with client/server mode (wxwidgets, C++)
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* Automatic validation tests (AQAT, AVVT)
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These solvers use plenty of numeric methods and data structures:
* Automatic dependency of f90 modules in makefiles
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* Keyword-based input file
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[[File:DataNum.jpg | center | thumb | 700px | Numeric methods and data structures]]
* Easy profiling with timers
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== Gallery ==
 
== Gallery ==
Some computation examples are given in the [[YALES2_Gallery|gallery]].
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Some computation examples are given in the [[YALES2_Gallery|gallery]] and on the Youtube video channel [https://www.youtube.com/@CoriaCFD]
  
 
== Performances ==
 
== Performances ==

Revision as of 22:03, 20 July 2023

PRECCINSTA burner with YALES2

Motivation

YALES2 aims at the solving of two-phase combustion from primary atomization to pollutant prediction on massive complex meshes. It is able to handle efficiently unstructured meshes with several billions of elements, thus enabling the Direct Numerical Simulation of laboratory and semi-industrial configurations.

YALES2 was developed from 2007 to 2010 by V. Moureau and is maintained since 2011 by V. Moureau and G. Lartigue at CORIA and several other people in research laboratories.

More information may be found in the following presentation: YALES2 presentation

Community

There is today more than 500 researchers/engineers who were trained by the CORIA since 2009. The community regroup academic partners, HPC centers, industrial partners, HPC expert, SMEs and more.

YALES2 network

Commitments

The YALES2 team is committed to supporting code users through training, meetings, projects or events.

YALES2 team commitment

Here an example of event you can participate to:

YALES2 Library and solvers

The numerical library YALES2LIB consists of all the numerical methods required to develop solvers:

YALES2 library

We have plenty of solvers today, here are the principals:

YALES2 solvers

These solvers use plenty of numeric methods and data structures:

File:DataNum.jpg
Numeric methods and data structures

Gallery

Some computation examples are given in the gallery and on the Youtube video channel [1]

Performances

Thanks to highly efficient linear solvers, the speed-up of YALES2 is almost linear for meshes with several billion elements. These measures up to 21 billion elements were performed at IDRIS in France and at the Juelich Supercomputing Center in Germany.

YALES2 scale-up on Blue Gene/P machines