Home // FUTURE COMPUTING 2016, The Eighth International Conference on Future Computational Technologies and Applications // View article
Authors:
Simone Coscetti
Keywords: Parallel Computing; Graphics Processing Units; Lattice Quantum Chromodynamics; Computational Fluid Dynamics
Abstract:
During the last few years, we have had the opportunity to watch a fast evolution in the devices for scientific computing. Looking at the Top500 Supercomputer Sites rank, we can see that the most important sites are building new infrastructures with accelerators devices beside traditional Central Processing Units (CPUs). One of the main reasons of this behavior is the investigation of a way to reduce power consumption. For this purpose nowadays the trend is to reduce the amount of memory over the single core in each computing device. The most promising approach to reach this goal is the utilization of Graphics Processing Units (GPUs) alongside traditional CPUs. In this paper, we show a study on nVidia GPUs in parallel computing applied to two demanding fields, such as the Lattice Quantum ChromoDynamics and the Computational Fluid Dynamics.
Pages: 54 to 58
Copyright: Copyright (c) IARIA, 2016
Publication date: March 20, 2016
Published in: conference
ISSN: 2308-3735
ISBN: 978-1-61208-461-9
Location: Rome, Italy
Dates: from March 20, 2016 to March 24, 2016