▪ The C bindings make interfacing with Fortran difficult▪ Global class implemented to
coordinate data transfers with and computation on the GPU▪ Data created and initialised on …

Exascale systems will present programmers with many challenges. The authors review the
parallel programming models that are appropriate for such systems and the challenges that …

Seismic traveltime tomography is an optimization problem that requires large computational
efforts. Therefore, linearized techniques are commonly used for their low computational cost …

Next generation data centers will be composed of thousands of hybrid systems in an attempt
to increase overall cluster performance and to minimize energy consumption. New …

Performance evaluation and modeling are crucial steps to enabling the optimization of
parallel programs. Programs written using two programming models, such as MPI and …

Stencil computations are at the core of various Computational Fluid Dynamics (CFD)
applications and have been well-studied for several decades. Typically they're highly …

Parallel computing of 3D Discrete Element Method (DEM) simulations can be achieved in
different modes, and two of them are pure MPI and hybrid MPI-OpenMP. The hybrid MPI …

The frequent itemset mining (FIM) is one of the most important techniques to extract
knowledge from data in many real-world applications. Facing big data applications, parallel …

The advent of multi-/many-core processors in clusters advocates hybrid parallel
programming, which combines Message Passing Interface (MPI) for inter-node parallelism …

Models of parallel processing systems typically assume that one has workers and jobs are
split into an equal number of tasks. Splitting jobs into smaller tasks, ie using “tiny tasks”, can …