标题： 具有分层粒子重新排序的并行自适应P3M代码 显示英文标题

标题： A Parallel Adaptive P3M code with Hierarchical Particle Reordering

摘要： 我们讨论了HYDRA_OMP的设计与实现，HYDRA_OMP是HYDRA代码的Smoothed Particle Hydrodynamics-Adaptive P3M（SPH-AP3M）版本的一种并行实现。该代码主要用于开展宇宙学流体力学模拟，用Fortran77+OpenMP编写。已针对RISC处理器和SMP-NUMA架构实施了一系列优化，其中最重要的优化是链式单元内粒子的分层重新排序，这极大地提高了数据局部性，从而消除了通常与链表相关的缓存未命中问题。并行扩展性能良好，在现代SMP架构的32个节点上实现了最低73%的并行扩展。我们以每秒粒子更新数量的形式给出了性能数据，这是一个比原始MFlops更有用的性能指标。该代码的基本版本将在不久的将来向社区开放。 显示英文摘要

摘要： We discuss the design and implementation of HYDRA_OMP a parallel implementation of the Smoothed Particle Hydrodynamics-Adaptive P3M (SPH-AP3M) code HYDRA. The code is designed primarily for conducting cosmological hydrodynamic simulations and is written in Fortran77+OpenMP. A number of optimizations for RISC processors and SMP-NUMA architectures have been implemented, the most important optimization being hierarchical reordering of particles within chaining cells, which greatly improves data locality thereby removing the cache misses typically associated with linked lists. Parallel scaling is good, with a minimum parallel scaling of 73% achieved on 32 nodes for a variety of modern SMP architectures. We give performance data in terms of the number of particle updates per second, which is a more useful performance metric than raw MFlops. A basic version of the code will be made available to the community in the near future.