Simulation and visualization of particles in real-time can be a computationally intensive task. This intensity comes from diverse factories, being one of them is the O(n^2) complexity of the traversal algorithm, necessary for the proximity queries of all pair of …
March 23, 2013 by hgpu
General-purpose graphics processing units (GPGPU) have emerged as an important class of shared memory parallel processing architectures, with widespread deployment in every computer class from high-end supercomputers to embedded mobile platforms. Relative to more traditional multicore systems of today, GPGPUs …
January 17, 2013 by hgpu
In this project, our goal is to make particle simulation run in parallel using both CUDA and MPI implementations. The scale of parallelism between the are two vastly different, and we wish to compare implementations to gain insight on the …
January 15, 2013 by hgpu
Current trends in parallel processors call for the design of efficient massively parallel algorithms for scientific computing. Parallel algorithms for Monte Carlo simulations of thermodynamic ensembles of particles have received little attention because of the inherent serial nature of the …
November 8, 2012 by hgpu
In this paper we introduce a fast and consistent Smoothed Particle Hydrodynamics (SPH) technique which is suitable for convection-diffusion simulations of incompressible fluids. We apply our temporal blending technique to reduce the number of particles in the simulation while smoothly …
July 18, 2012 by hgpu
A heterogeneous CPU-GPU node is getting popular in HPC clusters. We need to rethink algorithms and optimization techniques for such system depending on the relative performance of CPU vs. GPU. In this paper, we report a performance optimized particle simulation …
June 8, 2012 by hgpu
Physically plausible simulation of fluids in real-time is mostly achieved using approximations of the NavierStokes equations. Recent methods simulate fluids by exploiting the capabilities of modern graphics processing units. This article describes a method called Smoothed Particle Hydrodynamics (SPH), which …
April 27, 2012 by hgpu
Dynamic scheduling and varying decomposition granularity are well-known techniques for achieving high performance in parallel computing. Heterogeneous clusters with highly data-parallel processors, such as GPUs, present unique problems for the application of these techniques. These systems reveal a dichotomy between …
March 9, 2012 by hgpu
We show how to accelerate the direct solution of the Boltzmann equation using Graphics Processing Units (GPUs). In order to fully exploit the computational power of the GPU, we choose a method of solution which combines a finite difference discretization …
January 18, 2012 by hgpu
This report is on a small test problem within the context of a larger long-term research project. GPUs are increasingly popular for particle methods, due to the readily apparent parallelism inherent to N-Body problems. Particle-In-Cell is a popular scheme for …
December 10, 2011 by hgpu
Simulation of interacting particle systems has been a well established method for many years now. Such systems can span different scales, including microscopic (where particles represent atoms, as in Molecular Dynamics simulations) as well as macroscopic. In the latter case, …
November 16, 2011 by hgpu
This paper proposes a method of flame simulation based on Lagrange process and chemical composition, which was non-grid and the problems associated with there grids were overcome. The turbulence movement of flame was described by Lagrange process and chemical composition …
November 5, 2011 by hgpu
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