Computational fluid dynamics (CFD) is one of the most emerging fields of fluid mechanics
used to analyze fluid flow situation. This analysis is based on simulations carried out on …

Exascale computing will feature novel and potentially disruptive hardware architectures.
Exploiting these to their full potential is non-trivial. Numerical modelling frameworks …

In this paper, we evaluate the performance of parallelism in Python and C++. Parallel
programming can be achieved in Python through the multiprocessing module and in C++ by …

Efficiently exploiting GPUs is increasingly essential in scientific computing, as many current
and upcoming supercomputers are built using them. To facilitate this, there are a number of …

In the era of technology, there is a need to rely on new high performance Heterogeneous
embedded computing device to process a huge amount of data for various smart …

Graphics processing unit-based parallel programming architecture has shown increased
popularity as a building block for high performance computing. With the increased …

A comparative analysis of the performance of the two technologies of parallel computing,
OpenMP and nVidia CUDA have been carried out as exemplified by the computation of …

With ever increasing data sizes, the need for faster and efficient processing is acutely felt,
especially so in case of processing of remotely sensed data. The computation involved can …

Nos últimos anos as tradicionais soluções da Computação de Alto Desempenho (HPC, do
inglês High Performance Computing), como a inserção ou a substituição de processadores …

Computational fluid dynamics (CFD) is one of the most emerging fields of fluid mechanics
used to analyze fluid flow situation. This analysis is based on simulations carried out on …