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引用次数: 3

摘要

这项工作描述了一种分布式粒子跟踪的实现,它比传统方案提供了10000x的加速。虽然用于实现这一结果的技术都不是全新的,但在这个项目中,它们已经被结合使用,产生了很大的效果。该实现包括使用HDF5的并行IO、灵活的负载平衡方案和动态缓冲,以实现大规模的卓越性能。HDF5的使用分离了从粒子跟踪生成数据的模拟的大小,提供了一个更灵活和高效的工作流程。负载平衡方案通过保持在任何给定时间占用的所有MPI任务,确保异构粒子分布不会导致计算资源的浪费。动态缓冲最大限度地减少了MPI任务之间的MPI交换,这是实现性能改进的关键因素。
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ECSS Experience: Particle Tracing Reinvented
This work describes an implementation of distributed particle tracking that provides a factor 10000x speedup over traditional schemes. While none of the techniques used to achieve this result are completely new, they have been used in combination to great effect in this project. The implementation includes parallel IO using HDF5, a flexible load balancing scheme, and dynamic buffering to achieve excellent performance at scale. The use of HDF5 decouples the size of the simulation generating the data from the particle tracing, providing a more flexible and efficient workflow. The load balancing scheme ensures that heterogeneous particle distributions do not result in a waste of computational resources by maintaining all the MPI tasks occupied at any given time. Dynamic buffering minimizes MPI exchanges across MPI tasks, a critical element in the performance improvements achieved.
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