MRI Acquisition: High Performance Cluster for Multidisciplinary Research at Long Island University

该项目支持购置一台高性能计算机集群，以支持生物信息学研究和引力波源建模。由于计算对如此多的领域至关重要，这样的集群将促进这两个领域的研究，并帮助培训学生的计算方法。特别是，改进的震源模拟将支持LIGO引力波观测站改进的科学。生物信息学研究旨在提高对环境变化的总体了解，特别是对南极大陆的环境变化的了解。这一集群将是对国家和其他非现场资源的重要补充，这些资源能够实现快速反应、有效的软件开发、更长的运行时间，以及其他类型的定制运行，而其他资源是不容易完成的。考虑到LIGO在发现黑洞双星方面取得的巨大成功，以及最近观测到的来自双星中子星合并的引力波，这一领域现在是一个巨大的时刻。这些中子星合并的模型使用了最先进的现实状态方程、磁场和中微子冷却。一个本地的高级集群补充了XSEDE设施的计算时间，并将极大地帮助模拟和数据分析。该项目的生物信息学研究研究环境对动物DNA的影响，这对于了解对极端环境的适应，特别是南极大陆的适应，以及那里的生物可能如何应对未来的全球变化具有意义。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project supports the acquisition of a high performance computer cluster in support of bioinformatics research and gravitational wave source modeling. With computation being critical to so many fields, such a cluster will advance research in both these fields as well as help train students in computational methods. In particular, improved source modeling will support improved science from the LIGO gravitational wave observatory. The bioinformatics research seeks to improve the understanding of environmental change generally, and, in particular, on the Antarctic continent.This cluster will be a crucial complement to national and other off-site resources that enables rapid response, effective software development, extended length runs, and other types of custom runs not easily accomplished on other resources. Now is a tremendous time for this field given the spectacular success of LIGO in discovering black hole binaries and, most recently, observing the gravitational waves from a binary neutron star merger that was also captured in the various electromagnetic bands (e.g. as a short gamma ray burst with an accompanying kilonova).These models of such neutron star mergers use state-of-the-art realistic equations of state, magnetic field, and neutrino cooling. A local, advanced cluster supplements computing time at XSEDE facilities and will help tremendously with simulations and analysis of data. The bioinformatics research of this project studies the effect of the environment on the DNA of animals, which has implications for understanding adaptations to extreme environments, particularly those of the Antarctic continent, and how organisms there may respond to future global change.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.