Presentation
P24 - Fully Spectral Dynamo Simulations for Heterogeneous Computing
Presenters
DescriptionOur CFD framework QuICC, based on a fully spectral method, has been successfully used for various dynamo simulations in spherical and Cartesian geometries.
It runs efficiently on a few thousands of cores using a 2D data distribution based on a distributed memory paradigm (MPI).
In order to better harness the computing power of current and upcoming HPC systems, which are increasingly based on heterogeneous nodes built from multi-core processors and accelerators (GPU), we present our work on refactoring the framework to introduce a hybrid distributed and shared memory parallelization (MPI + X).
A critical part of this strategy is the refactorization of the nonlinear transform step.
The nonlinear transform step is refactored to be described and manipulated in ''qir'' a bare-bone instruction-oriented language.
Though passes, the tree is pruned and optimized, temporary resources and communication grouping is handled programmatically.
A visitor pattern is used both for the instantiation and the dispatch of the correct back-ends at runtime.
The refactored tree enables QuICC to run full simulations on hybrid machines efficiently.
The implementation of ''qir'' and a performance comparison for different back-ends will be presented.
It runs efficiently on a few thousands of cores using a 2D data distribution based on a distributed memory paradigm (MPI).
In order to better harness the computing power of current and upcoming HPC systems, which are increasingly based on heterogeneous nodes built from multi-core processors and accelerators (GPU), we present our work on refactoring the framework to introduce a hybrid distributed and shared memory parallelization (MPI + X).
A critical part of this strategy is the refactorization of the nonlinear transform step.
The nonlinear transform step is refactored to be described and manipulated in ''qir'' a bare-bone instruction-oriented language.
Though passes, the tree is pruned and optimized, temporary resources and communication grouping is handled programmatically.
A visitor pattern is used both for the instantiation and the dispatch of the correct back-ends at runtime.
The refactored tree enables QuICC to run full simulations on hybrid machines efficiently.
The implementation of ''qir'' and a performance comparison for different back-ends will be presented.
TimeTuesday, June 49:43 - 9:43 CEST
LocationHG F 30 Audi Max
Session Chair
Event Type
Poster
