Location:
Search - mpi lbm code
Search list
Description: 格子Boltzmann方法
格子Boltzmann方法是为了保留格子气自动机方法的优点，克服其缺点而发展起来的方法。
特别是1992年，钱跃弘、陈十一等的开创性工作(提出LBGK模型方法)，使该方法广泛地应用到计算流体力学(单相流、多相流、多孔介质流、热对流、磁流体、反应-扩散等)。
这是“格子模型”的并行处理，在LINUX下调试通过-lattice Boltzmann method lattice Boltzmann method is to retain the lattice gas automata the advantages and overcome its shortcomings and develop ways. In particular, in 1992, Qian Yue Wong Chan 11 the pioneering work (proposed Computational Model), the approach to the wider application of computational fluid dynamics (single-phase flow, multiphase flow, flow in porous media, thermal convection, MHD, the reaction- diffusion, etc.). This is the "lattice model" of parallel processing, the adoption of Linux Debugging
Platform: |
Size: 17408 |
Author: 张翟 |
Hits:
Description: Lattice Boltzmann Method 模拟单相流体-LBM simulation for single phase flow
Platform: |
Size: 2048 |
Author: 袁浩 |
Hits:
Description: Parallel LBM in C++
In which, as a counterpoint to abstract virtual generic templated meta-programming, we present a concrete code to simulate on precisely two computational nodes using a 1D lattice Boltzmann model with omega = 1 the heating of one end of a 1m copper bar for 0.1ms.
Note that this code is deliberately condensed, contains few comments, and its layout is optimised for printing out and reading. And in order to get it down to one page I ve also cut it down to one dimension so the concept of hydrodynamics, for which LBM is generally used, is rather lost.
Having said that, it s a neat bit of code. The intention in writing it was to demonstrate how to perform simple distributed memory computations using MPI. My main code uses pretty much the same method, rather better structured, and scales well up to 32 processors (maybe more - I haven t tried). -Parallel LBM in C++
In which, as a counterpoint to abstract virtual generic templated meta-programming, we present a concrete code to simulate on precisely two computational nodes using a 1D lattice Boltzmann model with omega = 1 the heating of one end of a 1m copper bar for 0.1ms.
Note that this code is deliberately condensed, contains few comments, and its layout is optimised for printing out and reading. And in order to get it down to one page I ve also cut it down to one dimension so the concept of hydrodynamics, for which LBM is generally used, is rather lost.
Having said that, it s a neat bit of code. The intention in writing it was to demonstrate how to perform simple distributed memory computations using MPI. My main code uses pretty much the same method, rather better structured, and scales well up to 32 processors (maybe more- I haven t tried).
Platform: |
Size: 1024 |
Author: lcg |
Hits: