Finite Element Embedded Library and Language in C++
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4th Feel++ Users Days in Strasbourg March 23 to March 25
The Center of Modeling and Simulation in Strasbourg as well as the Feel++ development team organizes the "Fourth Feel++ User Days". They will take place in Strasbourg at IRMA between March 23 and March 25 2015. Sponsors. The 4th Feel++ User days are sponsored by ...
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Feel++ website update
Feel++ is a C++ library for partial differential equation solves using generalized Galerkin methods such as the finite element method, the h/p finite element method, the spectral element method or the reduced basis method. Feel++ is currently used in various projects hosted by Cemosis.
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We now start using zenodo to store our slides, posters or software so that we can easily reference them.  You will find below the publications of all the slides of the FUD3 (Feb 19-21 2014)
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New simulation/presentation for the tomography project.

This simulation shows the propagation of the light though a turbid medium (2 inclusions) for 16 different IR sources located around the object.

Enjoy!
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Feel++ has now its own YouTube channel

https://www.youtube.com/channel/UCnLX6kyV8j644isqhMpUN4Q

About 40 videos are now online. Enjoy!

You can subscribe to the channel to receive notifications when new videos are uploaded.
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Aerothermal simulation in an airplane cabin using Feel++ (Courtesy of JB Wahl and P Gerhard)
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Guillaume DOLLÉ's profile photovincent doyeux's profile photoChristophe Prud'homme's profile photo
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Super simulation !
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vincent doyeux

Discussion  - 
 
Simulation of vesicles at a bifurcation. The curvature force is negligible making the vesicles easy to deform.  

http://youtu.be/Fdb39nQL8QQ
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vincent doyeux

Discussion  - 
 
First simulation on SUPERMUC for level set application :
8 bubbles of different fluids rising in a 9th one
8 level set are needed for this simulation
10 cores, 187226 dof for navier-stokes problem, few hours for the total simulation
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Two level set fields are shown here.
http://youtu.be/WqtrH__SqHk
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Mourad Ismail

Discussion  - 
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Christophe Prud'homme's profile photoMourad Ismail's profile photo
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I agree with you. For example we are not obliged to assemble matrices at each time step, at least part of them
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Feel++ selected by Prace 10th call for projects ! 6 Millions core hours for one year on Curie @ TGCC
The Hp-Feel++ project (6 Millions core hours on Curie@TGCC) was selected by the 10th Prace call for project. The HP-Feel++ project aims are twofold: (i) developing scalable solution strategies and (ii) enabling them in research applications. Two applications domains have been selected : high ...
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Christophe Prud'homme

Science & Technology  - 
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Christophe Prud'homme
owner

Science & Technology  - 
 
GitHub now allows to add a DOI to our software and have it citable !
this will done very soon for Feel++
https://github.com/blog/1840-improving-github-for-science
GitHub is great !
GitHub is being used today to build scientific software that's helping find Earth-like planets in other solar systems, analyze DNA, and build open source rockets. Seeing these projects and all this momentum within academia has pushed us to think about how we can make GitHub a better tool for research. As scientific experiments become more complex and their datasets grow, researchers are spending more of their time writing tools and software to a...
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Feel++ is now on twitter
The latest from Feel++ (@feelpp). Feel++ is a library to solve partial differential equations using arbitrary order continuous or discontinuous Galerkin methods in 1D, 2D and 3D in parallel. Strasbourg, France
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A first aerothermal simulation in a computer room using Feel++ courtesy of JB Wahl and P Gerhard. Enjoy!
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anyone used CodeBlocks to Build Feel++ ?
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Errazi BEN AHMED's profile photoChristophe Prud'homme's profile photo
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Dear Errazi,
 Could you send this kind of questions on the feelpp-user@feelpp.org mailing list 

you can register here
https://groups.google.com/a/feelpp.org/forum/#!forumsearch/

There is also GitHub to report issues
https://github.com/feelpp/feelpp/issues?milestone=2&state=open

Try to provide as much information as possible: compiler, version of libraries/software, operating system.

CodeBlocks is just an editor it won't fix the kind of issue you have

Thanks in advance
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vers le benchmark FSI3 avec la FBM :
Oseen pour le fluide, HyperElastique incompressible pour la structure
Couplage FSI semi-implicite.
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Mourad Ismail's profile photoJaroslav Hron's profile photo
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Really good job - may be you could improve the reference lift and drag values of this benchmark...
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It is my pleasure to announce that HP-Feel++ (High Performance Feel++) has
been awarded 60 000 000 core hours on SUPERMUC (GAUSS@LRZ,Germany)[1] by the
PRACE 6th regular call [2]. Among 88 projects submitted, 57 have been
selected. HP-Feel++ has received fully the requested core hours.

 1. http://www.lrz.de/services/compute/supermuc/  2. http://www.prace-ri.eu/

The press release of PRACE is available here
http://www.prace-ri.eu/IMG/pdf/2013-02-28_call_6_allocations_final.pdf 

HP-Feel++ is a collaboration between U. of Strasbourg(France), U. Joseph Fourier(Grenoble, France), CNRS, U. of Pierre et Maris Curie (Paris) and U. Coimbra(Portugal).

The HP-Feel++ project aims at developing two research applications that
require now access of TIER-0 computing resources: blood flow rheology and high field magnets.

Although these domains are quite different they have been thoroughly developed for the past few years within the Feel++ project (http://www.feelpp.org). They share the same mathematical kernel that encompasses a large range of numerical methods to solve partial differential equations such as (i) arbitrary order continuous and discontinuous Galerkin methods in 1D, 2D and 3D, (ii) domain decomposition methods, (iii) fictitious domain methods, (iv) level-set methods or (iv) certified reduced basis methods.  These methods are developed and used easily using a domain specific language embedded in C++ mimicking the mathematical language associated to Galerkin methods. This language allows physicists, engineers and mathematicians to focus on the numerical methods as well the physics whilst it hides the computer science details (e.g. parallelism) or algebraic solvers and enables the user to ramp up very quickly from rapid prototyping numerical methods to large scale computations. Within this context, blood flow rheology and high field magnets are the two domains driving Feel++ developments.

In blood flow rheology, we are interested in simulating suspensions of red blood cells (RBC) in arteries and veins and in studying the fluid properties (i.e. the fluid apparent viscosity) either in healthy contexts (our current focus) or pathological contexts (in the longer term). Not only the RBC are deformable entities, arteries and veins deform also during blood pulse; in both cases fluid structure interaction modeling and simulations are required. We have developed two main alternatives to tackle these problems: (i) fluid structure interaction within the so-called Arbitrary Lagrangian Eulerian framework coupled with a fictitious domain method to handle the RBC and (ii) fluid structure interaction using level-set methods. In both cases, the computational and storage costs for realistic simulations require using the TIER-0 infrastructures.

As to high field magnets (i.e. magnetic intensity greater than 24T), they are being developed by a large scale equipment laboratory (Laboratoire national des champs magnetiques intenses) and they are accessible to the international scientific community through project calls. Studies range from solid physics to applied supra-conductivity and magneto-science. The design and optimisation of these high field magnets require the solution of large scale multi-physics (and mildly multi-scale) non-linear partial differential equations. Moreover to ensure a robust design, we need to assess uncertainties through quantile estimations and sensitivity analysis. The latter is built on the former as it requires hundred or thousands evaluations of the former. We have developed the so-called certified reduced basis in this context to reduce the computational cost within the uncertainty quantification and optimisation processes from millions of degrees of freedom to a few tens or hundreds. This huge computational gain requires however the acceptance of an intensive offline stage allowing to get the independence with respect to the costly (typically finite element) underlying models and which demands now the access to TIER-0 infrastructures.
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