Computer Algebra Systems are developing very fast and it is now possible to use new computational power very efficiently to analytically integrate dynamical systems. However, the task of producing an appropriate program is time consuming and requires a considerable amount of skills and practice. Here the merits of numerical versus computer algebraic approaches are compared in the context of a s...

We discuss the computational bottlenecks in molecular dynamics (MD) and describe the challenges in parallelizing the computation-intensive tasks.We present a hybrid algorithmusingMPI (Message Passing Interface) with OpenMP threads for parallelizing a generalizedMD computation scheme for systemswith short range interatomic interactions. The algorithm is discussed in the context of nano-indentati...

We describe a real-time speech application which simulates the human production of natural-language utterances in a two-person conversation. Since generating such utterances is a complex and often time-consuming task, we examine the timing constraints and result-quality requirements of this application, as well as the dependencies between the timing constraints and result qualities of the tasks...

High performance computing on a large-scale computational grid is complicated by the heterogeneous computational capabilities of each node, node unavailability, and unreliable network connectivity. Replicating computation on multiple nodes can significantly improve performance by reducing task completion time on a grid’s dynamic environment. We develop an analytical model to determine the numbe...

A common technique for groundwater management modeling is the Finite-Element method. Optimizing these complex models often implies many hundreds of model simulations and due to the time consuming simulation runs this leads to an impracticable runtime of the optimization process even on modern computation resources. In this paper an approach is presented to use a grid infrastructure to calculate...

Sensitivity analysis aims at quantifying influence of input parameters dispersion on the output dispersion of a numerical model. When the model evaluation is time consuming, the computation of Sobol' indices based on Monte Carlo method is not applicable and a surrogate model has to be used. Among all approximation methods, polynomial chaos expansion is one of the most efficient to calculate var...

Reservoir formations exhibit a wide range of heterogeneity from micro to macro scales. A simulation that involves all of these data is highly time consuming or almost impossible; hence, a new method is needed to meet the computational cost. Moreover, the deformations of the reservoir are important not only to protect the uppermost equipment but also to simulate fluid pattern and petroleum produ...

We consider the calculation of lesion detectability using a mathematical model observer, the channelized Hotelling observer (CHO), in a signal-known-exactly/background-known-exactly detection task for single photon emission computed tomography (SPECT). We focus on SPECT images reconstructed with Bayesian maximum a posteriori methods. While model observers are designed to replace time-consuming ...

Online battery capacity estimation is a critical task for management system to maintain the performance and cycling life in electric vehicles grid energy storage applications. Convolutional Neural Networks, which have shown great potentials estimation, thousands of parameters be optimized demand substantial number aging data training. However, these require massive memory while collecting large...