Acquisition of a High Performance Computing Cluster for Solar and High-Energy Astrophysics Research

这是一项获得高性能计算集群（HPCC）的建议，以促进亨茨维尔（UAH）的亚拉巴马大学的太阳物理学，日地物理学，高能天体物理学和天体物理学仪器开发的研究。拟议的设施将包括一个高性能的计算引擎，数据存储和存档硬件，以及可视化硬件和软件。目标是开发一个重要的设施，免费提供给参与研究小组的高级科学家，博士后和研究生。具体而言，拟议的HPCC将通过加强对太阳和天体物理过程的模拟和建模工作，促进对来自多个实验计划的大量数据集的分析，并帮助描述现有的（以及未来的发展）通过提供生成具有高统计数据的仪器模拟的平台，提供了一个仪器。提议者概述了一个模型系统，这些目标包括基于商用设备的多CPU设计、CPU之间的高速互连、大数据存储能力、存档硬件和软件、数据分析和可视化硬件和软件以及学生和博士后的软件开发工作站。这些因素有可能严重限制数据处理吞吐量，仪器表征研究和理论建模程序。对计算资源的适度投资将对UAH现有和未来研究项目的科学回报产生重大影响。拟议的HPCC系统旨在解决这些问题，并提供资源，确保UAH在太阳和宇宙研究中的持续领导地位。这种新的计算基础设施还将补充UAH新成立的高能光子学实验室（HEPL）正在进行的工作，使该实验室开发的仪器的模拟，设计，校准和分析成为可能。

This is a proposal to acquire a High Performance Computing Cluster (HPCC) to facilitate the study of solar physics, solar-terrestrial physics, high-energy astrophysics, and astrophysics instrumentation development at the University of Alabama in Huntsville (UAH). The proposed facility would consist of a high-performance computational engine, data storage, and archiving hardware, as well as visualization hardware and software. The goal would be to develop a significant facility that is freely available to senior scientists, postdocs, and graduate students in the participating research groups. Specifically, the proposed HPCC would support the proposers' primary science goals by enhancing efforts to simulate and model solar and astrophysical processes, facilitating the analysis of large volume datasets from multiple experimental programs, and aiding the characterization of existing (and the development of future) instrumentation by providing a platform for generating instrument simulations with high statistics.The proposers have outlined a model system to achieve these goals that includes a multi-CPU design based on commercially available equipment, high-speed interconnects between CPUs, large data storage capability, archiving hardware and software, data analysis and visualization hardware and software, and software development workstations for students and postdocs.The increasing volumes of experimental data, as well as the complexity of ongoing and future analyses, pose significant data analysis challenges. These factors have the potential to severely restrict data processing throughput, instrument characterization studies, and theoretical modeling programs. A modest investment in computing resources would make a major impact on the scientific return of both existing and future research programs at UAH. The proposed HPCC system is designed to address these issues and to provide a resource that would ensure UAH's continued leadership in the study of the Sun and the Cosmos. This new computational infrastructure would also complement the ongoing efforts of UAH's newly established High Energy Photonics Laboratory (HEPL) by enabling the simulation, design, calibration, and analysis of instrumentation developed in that laboratory.