Software gGEM | EGI Applications Database

Applications Database
Supporting
Applications Database
Supporting
Applications Database
Supporting
Applications Database
Supporting
Applications Database
Supporting

Click to visit the AppDB VMOps Dashboard for deploying and managing Virtual Machines to the EGI Cloud infrastructure.read more

.noscript.softwareentry {display: block;width: 1000px;}.noscript.softwareentry .field {display: block;padding-bottom: 0.5em;padding-left: 10em;width: auto;text-align:left;}.noscript.softwareentry .field .fieldtype {color: #444444;display: inline-block;font-weight: bold;min-width: 90px;vertical-align: top;width: 90px;}.noscript.softwareentry .field .fieldvalue {display: inline-block;max-width: 780px;text-align:left;}.noscript.softwareentry .field.image {height: 100px;left: -110px;position: absolute;top: 0;width: 100px;.height: 100px;border:none;}

Name:gGEM

Description:Study of gyrofluid electromagnetic phenomena in the context of edge turbulence

Abstract:This application has been ported to Grid thanks to Dr. Bruce D. Scott and Dr. Tiago T. Ribeiro’s work and support. The study of core turbulence represents a key line of research in fusion plasmas. By adding collisions and electromagnetic induction to the parallel dynamics of the standard six-moment toroidal model, it is possible to study the gyrofluid electromagnetic phenomena in the context of edge turbulence with the GEM code. Currently, the code describes the fluctuation free-energy conservation in a gyrofluid model by means of the polarization equation which relates the ExB flow and eddy energy to the combinations of the potential, the density, and the perpendicular temperature. To do so, supercomputers have been used only to date. With gGEM we demonstrate its feasibility as a cluster application on a production environment based on any kind of distributed memory, enhancing in this way its scope. The scalability (which grows linearly with a correlation factor of 0.99978) and the correctness of our solution with respect to the previous GEM version have been checked in a local cluster of 88 nodes. The fault tolerance and the Grid suitability have been also demonstrated. It can be employed on its own or belonging to workflows in order to perform a wider more complex analysis of fusion reactors.