Abstract Graphic Processing Units (GPUs) have greatly exceeded their initial role of
graphics accelerators and have taken a new role of co-processors for computation—heavy …

This paper presents a numerical method for interactive (real-time) simulations, which
considerably improves the accuracy of the response of heterogeneous soft-tissue models …

Nonlinear Model Predictive Control (NMPC) is a state-of-the-art approach for locomotion
and manipulation which leverages trajectory optimization at each control step. While the …

To help solve physical and engineering problems, mimetic or compatible algebraic
discretization methods employ discrete constructs to mimic the continuous identities and …

Parallelization of the finite-element method (FEM) has been contemplated by the scientific
and high-performance computing community for over a decade. Most of the computations in …

The acquisition of 3D facial models is crucial in the gaming and film industries. In this study,
we developed a facial acquisition system based on infrared structured light sensors to obtain …

This book describes, in a basic way, the most useful and effective iterative solvers and
appropriate preconditioning techniques for some of the most important classes of large and …

Power and energy consumption are becoming an increasing concern in high performance
computing. Compared to multi-core CPUs, GPUs have a much better performance per watt …

Simulation with models based on partial differential equations often requires the solution of
(sequences of) large and sparse algebraic linear systems. In multidimensional domains …

The demand for fast solution of nonlinear optimization problems, coupled with the
emergence of new concurrent computing architectures, drives the need for parallel …