In this study, a recurrent convolutional neural network (RCNN) is designed for full-wave
electromagnetic (EM) modeling. This network is equivalent to the finite difference time …

Effective combination of inter-node and intra-node parallelism is recognized to be a major
challenge for future extreme-scale systems. Many researchers have demonstrated the …

Many-core architectures, such as the Intel Xeon Phi, provide dozens of cores and hundreds
of hardware threads. To utilize such architectures, application programmers are increasingly …

The architectural, engineering, construction and facilities management (AEC-FM) industry is
going through a transformative phase by adapting new technologies and tools into its …

The computation of ever larger as well as more accurate phylogenetic (evolutionary) trees
with the ultimate goal to compute the tree of life represents one of the grand challenges in …

Simulations of light scattering from nano-structured surface areas require substantial amount
of computing time. The emergence of general purpose graphics processing units (GPGPUs) …

Abstract Three-dimensional (3D) ground-penetrating radar (GPR) systems and 3D seismic
imaging techniques have been develo** fast and evolving rapidly in the last decade. Ray …

A hybrid message passing and shared memory parallelization technique is presented for
improving the scalability of the adaptive integral method (AIM), an FFT based algorithm, on …

Microwave tomography (MT) is a safe screening modality that can be used for breast cancer
detection. The technique uses the dielectric property contrasts between different breast …

This paper deals with the performance prediction of hybrid MPI/OpenMP code. The use of
HeSSE (Heterogeneous System Simulation Environment), along with an XML-based …