论文标题
基于网格的最小化：SBN的Feldman-Cousins校正
Grid-based minimization at scale: Feldman-Cousins corrections for SBN
论文作者
论文摘要
我们提出了用于建造Feldman-Cousins（FC）校正的计算模型，经常用于高能物理（HEP）分析。该程序包含基于网格的最小化，并以C ++编写。我们的算法通过EIGEN3利用矢量化，与原始实现相比，单核速度为350，并通过使用DIY实现MPI数据并行。我们演示了在高性能计算（HPC）站点上可以很好地扩展的应用。我们将HDF5与HighFive结合使用将计算结果写入文件。
We present a computational model for the construction of Feldman-Cousins (FC) corrections frequently used in High Energy Physics (HEP) analysis. The program contains a grid-based minimization and is written in C++. Our algorithms exploit vectorization through Eigen3, yielding a single-core speed-up of 350 compared to the original implementation, and achieve MPI data parallelism by using DIY. We demonstrate the application to scale very well at High Performance Computing (HPC) sites. We use HDF5 in conjunction with HighFive to write results of the calculation to file.
