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This paper presents GPU parallelization for a computational fluid dynamics solver which works on a mesh consisting of polyhedral cells, where each cell has an arbitrary number of faces and each face has an arbitrary number of vertices. The parallelization is achieved using NVIDIAs compute unified device architecture (CUDA). The developed code specifically targets performance improvement on NVIDIA...
Simulation of natural phenomena, such as water and smoke, is a very important topic to increase real time scene realism in video-games. Besides the graphical aspect, in order to achieve realism, it is necessary to correctly simulate and solve its complex governing equations, requiring an intense computational work.Fluid simulation is achieved by solving the Navier-Stokes set of equations, using a...
The current trend towards multi-core/manycore and accelerated architectures presents challenges, both in portability, and also in the choices that developers must make on how to use the resources that these architectures provide. This paper explores some of the possibilities that are enabled by the Open Computing Language (OpenCL), and proposes a programming model that will allow developers and scientists...
The analog CNN-UM can be used to solve the Navier-Stokes equations quite fast. But using in engineering applications it can not be sufficiently accurate and reliable because noises from the environment, such as power supply noise or temperature fluctuation. With the proper Field Programmable Gate Array (FPGA) we can gain sufficient (adequate) computation speed with high precision. The dedicated hardware...
For numerical computations requiring a relatively high ratio of data access to operation, the scalability of memory bandwidth is key to performance improvement. In this paper, we propose a scalable FPGA-array to achieve custom computing machines for high-performance and power-efficient scientific simulations based on difference schemes. With the FPGA-array, we construct a systolic computational-memory...
In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. In this paper a CNN-UM based solver of 2D inviscid,...
In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion.
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