Mobile phones are set to become the universal interface to online services and cloud
computing applications. However, using them for this purpose today is limited to two …

Neural networks can be used to identify and remove noise from noisy speech spectrum
(denoisisng autoencoders, DAEs). The DAEs are typically implemented using the fully …

A new massively parallel scheme is developed to simulate free-surface flows with the
meshless method incompressible smoothed particle hydrodynamics (ISPH) for simulations …

In parallel adaptive applications, the computational structure of the applications changes
over time, leading to load imbalances even though the initial load distributions were …

The multiplicatively regularized finite-element contrast source inversion algorithm (MR-FEM-
CSI) is used to solve the full-vectorial three-dimensional (3D) inverse scattering problem …

We propose a fine-grained hypergraph model for sparse matrix-matrix multiplication
(SpGEMM), a key computational kernel in scientific computing and data analysis whose …

In this paper we present a new multi-resolution parallel framework, which is designed for
large-scale SPH simulations of fluid dynamics. An adaptive rebalancing criterion and …

This paper presents our work on develo** a parallel black oil simulator for distributed
memory computers based on our in-house parallel platform. The parallel simulator is …

A parallel adaptive wavelet collocation method for solving a large class of Partial Differential
Equations is presented. The parallelization is achieved by develo** an asynchronous …

Combinatorial algorithms in general and graph algorithms in particular play a critical
enabling role in numerous scientific applications. However, the irregular memory access …