MRI: Acquisition of Data-Intensive Cyberinfrastructure for Research and Education (DICRE) at North Dakota State University

提案#:12-29316PI(s): Katti, Dinesh R；安妮·M·丹顿；可汗，Samee U；马丁·奥索夫斯基；太阳,Wenfang;机构：北达科他州立大学法系：MRI/Acq。： NDStU研究和教育数据密集型网络基础设施（DICRE）项目建议：该项目来自EPSCoR状态，获得存储容量大的Beowulf集群，带有HDD存储设备和磁带存储子系统，用于存档目的，使实验HPC和生物信息学、数据感知材料建模等方面的各种研究项目成为可能，所有这些都将增加机构？并建立一个数据集，以协助他们的高性能计算研究项目。在州内外，该仪器有望打破计算材料科学和化学、计算力学和生物力学、数据信息学和数据感知可扩展计算科学等领域的研究障碍。使传统的计算工作流和范例日益复杂化。更广泛的影响：由于令人信服的教育和推广计划，以及在拟议的科学领域的预期科学发现，该提案展示了强大的更广泛的影响。这些项目丰富了更广泛的影响方面，不仅将在当地感受到，而且将有助于确保国家在所涉及的研究领域保持领导地位和创新。

Proposal #: 12-29316PI(s): Katti, Dinesh R; Denton, Anne M; Khan, Samee U; Ossowski, Martin M; Sun, Wenfang;Institution: North Dakota State University FargoTitle: MRI/Acq.: Data-Intensive Cyberinfrastructure for Research and Education (DICRE) at NDStU Project Proposed:This project from an EPSCoR state, acquiring a storage-heavy Beowulf cluster with an HDD storage appliance and a tape storage subsystem for archival purposes, enables a variety of research projects in experimental HPC and applications in bioinformatics, data-aware materials modeling, and others, all of which will both increase the institution?s resources for scientific computing and build a dataset to assist their HPC research projects. Within the state and beyond, the proposed instrument is expected to break barriers to research in the areas of computational materials science and chemistry, computational mechanics and biomechanics, data informatics, and data-aware scalable computational sciences where ?big-data? increasingly complicates traditional computational workflows and paradigms.Broader Impacts: Due to a convincing educational and outreach plans, as well as expected scientific discoveries in the areas of science proposed, the proposal showcases strong broader impacts. The programs to enrich broader impact aspects will not only be felt locally, but will also help ensure that the nation maintains leadership and innovation within the addressed research domains.