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arXiv 1310.0930physics.plasm-phphysics.comp-ph
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laser尾流场加速器大规模数值模拟的多尺度并行开发

Exploiting multi-scale parallelism for large scale numerical modelling of laser wakefield accelerators

Ricardo A. Fonseca, Jorge Vieira, Frederico Fiúza, Asher Davidson, Frank S. Tsung, Warren B. Mori, Luís O. Silva

摘要:

新一代的激光尾流场加速器,在PW级激光器和欠密靶相互作用中产生的极端加速场的支持下,有望在短距离内为多种应用产生高质量的电子束。实现这一目标将在很大程度上依赖于数值建模,以进一步理解底层物理和识别最佳机制,但这些场景的大规模建模计算量很大,需要有效使用最先进的Petascale超级计算系统。我们讨论的主要困难,在运行这些模拟和OSIRIS框架中实现的新的发展,以解决这些问题,从多维动态负载平衡和混合分布式/共享内存并行向量化的PIC算法。我们提出的结果的OASCR焦耳公制程序的大规模建模的LWFA的问题上,在相同的硬件上演示超过1个数量级的加速。最后,可扩展性超过$\sim 10^6$核心,并持续的性能超过$\sim 2$ PFlops的证明,开辟了大规模的激光尾流场加速器的建模方案的方式。

英文摘要:

A new generation of laser wakefield accelerators, supported by the extreme accelerating fields generated in the interaction of PW-Class lasers and underdense targets, promises the production of high quality electron beams in short distances for multiple applications. Achieving this goal will rely heavily on numerical modeling for further understanding of the underlying physics and identification of optimal regimes, but large scale modeling of these scenarios is computationally heavy and requires efficient use of state-of-the-art Petascale supercomputing systems. We discuss the main difficulties involved in running these simulations and the new developments implemented in the OSIRIS framework to address these issues, ranging from multi-dimensional dynamic load balancing and hybrid distributed / shared memory parallelism to the vectorization of the PIC algorithm. We present the results of the OASCR Joule Metric program on the issue of large scale modeling of LWFA, demonstrating speedups of over 1 order of magnitude on the same hardware. Finally, scalability to over $\sim 10^6$ cores, and sustained performance over $\sim 2$ PFlops is demonstrated, opening the way for large scale modeling of laser wakefield accelerator scenarios.

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