In the past decade, Graphics Processing Units have played an important role in the field of
high-performance computing and they still advance new fields such as IoT, autonomous …

With the SIMT execution model, GPUs can hide memory latency through massive
multithreading for many applications that have regular memory access patterns. To support …

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 …

This paper compares several alternative binarization algorithms for historical archive
documents, by evaluating their effect on end-to-end word recognition performance in a …

This paper presents a hybrid algorithm for the petascale global simulation of atmospheric
dynamics on Tianhe-2, the world's current top-ranked supercomputer developed by China's …

In the present paper, we present a Cell-Centered Implicit Finite Difference (CCIFD) operator-
based numerical scheme for the propagation of acoustic waves that is very effective …

Abstract A Genetic Algorithm (GA) is a heuristic to find exact or approximate solutions to
optimization and search problems within an acceptable time. We discuss GAs from an …

Utility of the computational power of Graphics Processing Units (GPUs) is elaborated for
solutions of incompressible Navier–Stokes equations which are integrated using a semi …

Engineering, scientific, and financial applications often require the simultaneous solution of
a large number of independent tridiagonal systems of equations with varying coefficients …

Current Graphics Processing Units (GPUs) are capable of obtaining high computational
performance in scientific applications. Nevertheless, programmers have to use suitable …