S. Stella, R. Chignola, E. Milotti
We have developed a numerical model that simulates the growth of small avascular solid tumors. At its core lies a set of partial differential equations that describe diffusion processes as well as transport and reaction mechanisms of a selected number of nutrients. Although the model relies on a restricted subset of molecular pathways, it compares […]
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Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera
The paper proposes a high-productivity framework for multi-GPU computation of mesh-based applications. In order to achieve high performance on these applications, we have to introduce complicated optimized techniques for GPU computing, which requires relatively-high cost of implementation. Our framework automatically translates user-written functions that update a grid point and generates both GPU and CPU code. […]
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V.O. Bohaienko
Parallel algorithms for modern high performance computing systems are required for fast modelling of high dimensional convection-diffusion processes in air. Such algorithms, designed for alternate-triangular finite difference splitting schemes applied to convection-diffusion equation, have been considered. An algorithm for single GPU systems and an algorithm for clusters with graphical processors has been described, algorithms’ performance […]
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Hang Liu, Jung-Hee Seo, Rajat Mittal, H. Howie Huang
Solving a banded linear system efficiently is important to many scientific and engineering applications. Current solvers achieve good scalability only on the linear systems that can be partitioned into independent subsystems. In this paper, we present a GPU based, scalable Bi-Conjugate Gradient Stabilized solver that can be used to solve a wide range of banded […]
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Yiannis Cotronis, Elias Konstantinidis, Maria A. Louka, Nikolaos M. Missirlis
In this paper we study a parallel form of the SOR method for the numerical solution of the Convection Diffusion equation suitable for GPUs using CUDA. To exploit the parallelism offered by GPUs we consider the fine grain parallelism model. This is achieved by considering the local relaxation version of SOR. More specifically, we use […]
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Boris Galvan
In this thesis, I present the theory and modeling of poro-elasto-plastic rheology coupled to a non-linear diffusion equation with a step increase in permeability at the onset of slip. This theoretical model is implemented in the graphic processing unit (GPU) architecture and programmed using the nVidia CUDA programming language. The numerical models are benchmarked by […]
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Kyung-Kyu Kang, Dongho Kim
We present a real-time subsurface scattering simulation to perform real-time rendering of translucent particle-based fluids. After particle-based fluid simulation, we immediately build voxelized fluids, calledVoronoi fluids, with particle locations and neighbour lists using GPUs. And then, we perform a multiple subsurface scattering simulation over the Voronoi fluids with the diffusion equation (DE). We employ Finite […]
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Yubo Zhang, Kwan-Liu Ma
High quality global illumination can enhance the visual perception of depth cue and local thickness of volumetric data but it is seldom used in scientific visualization because of its high computational cost. This paper presents a novel grid-based illumination technique which is specially designed and optimized for volume visualization purpose. It supports common light sources […]
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Canqun Yang, Zhen Ge, Juan Chen, Feng Wang, Yunfei Du
Solving complex convection-diffusion equations is very important to many practical mathematical and physical problems. After the finite difference discretization, most of the time for equations solution is spent on sparse linear equation solvers. In this paper, our goal is to solve 2D Nonlinear Unsteady Convection-Diffusion Equations by accelerating an iterative algorithm named Jacobi-preconditioned QMRCGSTAB on […]
K.H. Hoffmann, M. Hofmann, J. Lang, G. Runger, S. Seeger
The computational power of modern graphics processing units (GPUs) has become an interesting alternative in high performance computing. The specialized hardware of GPUs delivers a high degree of parallelism and performance. Various applications in scientific computing have been implemented such that computationally intensive parts are executed on GPUs. In this article, we present a GPU […]
Kalyan S. Perumalla
Graphics cards, traditionally designed as accelerators for computer graphics, have evolved to support more general-purpose computation. General Purpose Graphical Processing Units (GPGPUs) are now being used as highly efficient, cost-effective platforms for executing certain simulation applications. While most of these applications belong to the category of timestepped simulations, little is known about the applicability of […]
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Vaclav Simek, Radim Dvorak, Frantisek Zboril, Vladimir Drabek
Main objective of this paper is to outline possible ways how to achieve a substantial acceleration in case of advection-diffusion equation (A-DE) calculation, which is commonly used for a description of the pollutant behavior in atmosphere. A-DE is a land of partial differential equation (PDE) and in general case it is usually solved by numerical […]
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