Designing and running turbulence transport simulations using a distributed multiscale computing approach

Paper i proceeding, 2013

Multiscale simulation involving slow transport and fast turbulent timescales is one amongst three key computational challenges for Magnetic Confinement Plasmas, as identified in the PRACE report “The Scientific Case for HPC in Europe 2012-2020”. Whereas in global gy- rokinetic simulation the main challenge is parallelization efficiency (global gyrokinetic codes scaling to a huge amount of cores), the difficulty of the mulstiscale approach rely more on ease and performance of coupling single scale models together. This coupling requires generic meth- ods which have to be efficient and portable, especially when one (or more) single scale model is executed remotely as it may require specific hardware, bigger HPC systems or local databases access. The MAPPER project is developing a software infrastructure dedicated to the design and the execution of such distributed multiscale applications. It relies on a coupling library (MUSCLE) and few other to control the workflow execution and perform data communication between the different single scale components (“kernels”). Communication is done in a transparent way whether the kernels run locally or on a remote HPC system. We have implemented such application by using the MAPPER infrastructure and stand alone codes developed within the EFDA Integrated Tokamak Modelling (ITM): 1-D transport equa- tions solver, 2-D geometry given by an equilibrium code, and transport coefficients given by a 3-D fluxtube code. Due to the non-intrusive approach of the coupling library and to ITM effort on generic data structures, implementation of kernels is straightforward and the whole appli- cation is modular. This contribution presents the implementation, performance and preliminary results obtained with such multiscale method applied on present-day Tokamak configurations.