HASEonGPU—An adaptive, load-balanced MPI/GPU-code for calculating the amplified spontaneous emission in high power laser media

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Abstract
We present an adaptive Monte Carlo algorithm for computing the amplified spontaneous emission (ASE) flux in laser gain media pumped by pulsed lasers. With the design of high power lasers in mind, which require large size gain media, we have developed the open source code HASEonGPU that is capable of utilizing multiple graphic processing units (GPUs). With HASEonGPU, time to solution is reduced to minutes on a medium size GPU cluster of 64 NVIDIA Tesla K20m GPUs and excellent speedup is achiev...

Title of program: HASEonGPU
Catalogue Id: AFAM_v1_0

Nature of problem
The algorithm described by D. Albach in [1,2] uses ray-tracing techniques and Monte Carlo integration to calculate Amplified Spontaneous Emission (ASE) with high precision. It requires a high number of sampling points as well as a high number of rays to reach the desired results. Additionally, reflections on the upper and lower surface of the medium increase the workload by an order of magnitude. On traditional CPU-based systems the computation is time-consuming, which limits the number of simul ...

Versions of this program held in the CPC repository in Mendeley Data
AFAM_v1_0; HASEonGPU; 10.1016/j.cpc.2016.05.019

本程序源自贝尔法斯特女王大学馆藏的CPC程序库（1969-2018）

摘要
我们提出了一种自适应蒙特卡洛（Monte Carlo）算法，用于计算脉冲泵浦激光增益介质中的放大自发辐射（Amplified Spontaneous Emission, ASE）通量。考虑到高功率激光器的设计需要大尺寸激光增益介质，我们开发了开源代码HASEonGPU，该代码支持调用多块图形处理器（Graphics Processing Unit, GPU）进行并行计算。借助HASEonGPU，在包含64块英伟达（NVIDIA）Tesla K20m GPU的中型GPU集群上，求解时间可缩短至分钟级，且可实现优异的加速比……

程序名称：HASEonGPU
目录编号：AFAM_v1_0

问题特性
D. Albach在文献[1,2]中提出的算法采用光线追踪技术与蒙特卡洛积分方法，以高精度计算放大自发辐射（ASE）。该算法需要大量采样点与光线才能获得预期结果；此外，介质上下表面的反射会使计算量提升一个数量级。在传统CPU架构系统上，此类计算耗时极长，这限制了仿真的规模……

本程序在Mendeley Data的CPC库中的存档版本：AFAM_v1_0；HASEonGPU；DOI: 10.1016/j.cpc.2016.05.019