用GPU模拟1+1维表面生长和晶格气体
Simulation of 1+1 dimensional surface growth and lattices gases using GPUs
摘要：
限制固体表面生长模型可以映射到二元晶格气体。我们表明，有效的模拟算法可以实现GPU上的CUDA或OpenCL编程。我们考虑了与非对称简单排除过程相关的1+1维Kardar-Parisi-Zhang生长的沉积/蒸发模型，并表明对于适合GPU共享内存的大小，可以实现最大并行化加速比（对于Quadro FX 5800显卡，相对于2.67 GHz的单个CPU）。这使我们能够研究淬火柱状无序的影响，需要非常长的模拟时间。我们比较CUDA实现OpenCL实现设计的处理器集群通过MPI。实现了一个具有随机转向点的双车道交通模型，并研究了该模型的动力学行为。
英文摘要：
Restricted solid on solid surface growth models can be mapped onto binary lattice gases. We show that efficient simulation algorithms can be realized on GPUs either by CUDA or by OpenCL programming. We consider a deposition/evaporation model following Kardar-Parisi-Zhang growth in 1+1 dimensions related to the Asymmetric Simple Exclusion Process and show that for sizes, that fit into the shared memory of GPUs one can achieve the maximum parallelization speedup ~ x100 for a Quadro FX 5800 graphics card with respect to a single CPU of 2.67 GHz). This permits us to study the effect of quenched columnar disorder, requiring extremely long simulation times. We compare the CUDA realization with an OpenCL implementation designed for processor clusters via MPI. A two-lane traffic model with randomized turning points is also realized and the dynamical behavior has been investigated.
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