Cloud computing has emerged as a popular computing model to process data and execute
computationally intensive applications in a pay-as-you-go manner. Due to the ever …

For dynamic distributed systems modeled by partial differential equations, existing methods
of sensor location in parameter estimation experiments are either limited to one-dimensional …

Particle Mesh Ewald (PME) has become a standard method for treating long-range
electrostatics in molecular simulations. Although the method has inferior asymptotic …

The algorithms underlying numerical weather prediction (NWP) and climate models that
have been developed in the past few decades face an increasing challenge caused by the …

A predictive model of scattering processes in semiconductor lasers is derived, enabling us to
model relaxation processes starting from well-known parameters such as the dielectric …

Modern multicore and manycore processors exhibit multiple levels of parallelism through a
wide range of architectural features such as SIMD for data parallel execution or threads for …

The goal to continually reduce operating costs while meeting computational needs is
common to all modern organizations that use cloud computing. We study the problem of …

Radar remote sensing of the sea surface for the extraction of ocean surface wave fields
requires separating wave and non-wave contributions to the sea surface measurement …

The effective mastering of extremely parallel HPC system is impossible without deep
understanding of all internal processes and behavior of the whole diversity of the …

Within the scheme of the large-scale atomic effective pseudopotential program (LATEPP),
the Schrödinger equation of an electronic system is solved within an effective single-particle …