The sparse grid combination technique provides a frame-work to solve high dimensional numerical problems with standard solvers. Hierarchization is preprocessing step fa-cilitating the communication needed for the combination technique. The derived hierarchization algorithm outper-forms the baseline by up to 30x and achieves close to 5 % of peak performance. It also shows stable performance for the tested data sets of up to 1 GB. 1
International audienceOver the last few decades, there have been innumerable science, engineering an...
We investigate a new way of choosing combination coefficients for the sparse grid combination techni...
Sparse grids are a recently introduced new technique for discretizing partial differential equations...
AbstractThe sparse grid combination technique provides a framework to solve high-dimensional numeric...
Parallel implementation of the sparse grid combination technique in high dimensions presents many co...
Parallel implementation of the sparse grid combination technique in high dimensions presents many co...
SIGLETIB: RN 7878(9038) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Many petascale and exascale scientific simulations involve the time evolution of systems modelled as...
Many large scale scientific simulations involve the time evolution of systems modelled as Partial Di...
High-dimensional simulations pose a challenge even for next-generation high-performance computers. H...
The technique of sparse grids allows to overcome the curse of dimensionality, which prevents the use...
Sparse Grids (SG), due to Zenger, are the basis for efficient high dimensional approximation and hav...
Many petascale and exascale scientific simulations involve the time evolution of systems modelled as...
Functionals related to a solution of a problem, usually modelled by partial differential equations, ...
High-dimensional problems pose a challenge for tomorrow’s supercomputing. Problems that require the ...
International audienceOver the last few decades, there have been innumerable science, engineering an...
We investigate a new way of choosing combination coefficients for the sparse grid combination techni...
Sparse grids are a recently introduced new technique for discretizing partial differential equations...
AbstractThe sparse grid combination technique provides a framework to solve high-dimensional numeric...
Parallel implementation of the sparse grid combination technique in high dimensions presents many co...
Parallel implementation of the sparse grid combination technique in high dimensions presents many co...
SIGLETIB: RN 7878(9038) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
Many petascale and exascale scientific simulations involve the time evolution of systems modelled as...
Many large scale scientific simulations involve the time evolution of systems modelled as Partial Di...
High-dimensional simulations pose a challenge even for next-generation high-performance computers. H...
The technique of sparse grids allows to overcome the curse of dimensionality, which prevents the use...
Sparse Grids (SG), due to Zenger, are the basis for efficient high dimensional approximation and hav...
Many petascale and exascale scientific simulations involve the time evolution of systems modelled as...
Functionals related to a solution of a problem, usually modelled by partial differential equations, ...
High-dimensional problems pose a challenge for tomorrow’s supercomputing. Problems that require the ...
International audienceOver the last few decades, there have been innumerable science, engineering an...
We investigate a new way of choosing combination coefficients for the sparse grid combination techni...
Sparse grids are a recently introduced new technique for discretizing partial differential equations...