Nowadays, NVIDIA's CUDA is a general purpose scalable parallel programming model for
writing highly parallel applications. It provides several key abstractions–a hierarchy of thread …

Graphics processor units (GPU) that are originally designed for graphics rendering have
emerged as massively-parallel “co-processors” to the central processing unit (CPU). Small …

HPRC (High-Performance Reconfigurable Computing) systems include multicore
processors and reconfigurable devices acting as custom coprocessors. Due to economic …

In this paper, we propose a hybrid parallel programming approach for a numerical solution
of a two-dimensional acoustic wave equation using an implicit difference scheme for a …

Nowadays, NVIDIA's CUDA is a general purpose scalable parallel programming model for
writing highly parallel applications. It provides several key abstractions-a hierarchy of thread …

Abstract The Finite-Difference Time-Domain (FDTD) method is applied to the analysis of
vibroacoustic problems and to study the propagation of longitudinal and transversal waves …

Abstract The Cosmic Microwave Background (CMB) is a diffuse radiation which is
contaminated by the radiation emitted by point sources. The precise knowledge of CMB …

The need of fast computers to perform multiple works simultaneously in less time is
increasing day by day. In serial computation, tasks are performed one by one which takes …

Maximum flow is one of the important and classical combinatorial optimization problems.
However, the time complexity of sequential maximum flow algorithms remains high. In this …

Action entropy active sensing is a newly proposed task-oriented active sensing method that
selects the sensing action by minimizing the uncertainty in the future task. When the number …