MRI: Acquisition of an Adaptive Computation Server for Support of STEM Research at the University of Idaho

提案编号：12- 29766 PI（s）：Alves-Foss，Jim; Barannyk，Lyudmyla L; Potirniche，Gabriel P; Xing，Tao; Ytreberg，Frederick M;机构：莎士比亚大学标题： MRI/采集：莎士比亚大学支持STEM研究的自适应计算服务器项目建议：该项目来自EPSCoR州，获得了一个具有80个CPU，2 TB RAM和9.6 TB磁盘的“自适应计算服务器”，可以在计算流体和分子动力学领域进行各种研究项目，并在生态学，能源系统，水力学和蛋白质结构中应用。在计算机安全建模方面也开始了一项努力。所提出的仪器支持多达40个单独的并发实验/模拟，每个实验/模拟具有2个处理器内核和50 GB内存，可跨任意数量的处理器内核进行并行计算。预计它将在数百台（可能高达数千台）虚拟机上管理大规模模拟，每台虚拟机运行一小部分并行算法。更广泛的影响：由于该仪器固有的灵活性和现有资源的缺乏，该提议具有强大的更广泛影响的潜力，因为收购将在许多学科和学院中广泛使用。 提出了一个良好的教育和推广计划。

Proposal #: 12-29766PI(s): Alves-Foss, Jim; Barannyk, Lyudmyla L; Potirniche, Gabriel P; Xing, Tao; Ytreberg, Frederick M;Institution: University of IdahoTitle: MRI/Acq.: Adaptive Computation Server for Support of STEM Research at Univ. of IdahoProject Proposed:This project from an EPSCoR state, acquiring an "adaptive computational server" with 80 CPUs, 2 TB RAM, and 9.6 TB disk, enables a variety of research projects in the areas of computational fluid and molecular dynamics, with applications in ecology, energy systems, hydraulics, and protein structures. An effort is also starting out in computer security modeling. The proposed instrument supports up to 40 separate concurrent experiments/simulations each with 2 processor cores and 50 GB of memory, parallel computation across any number of processor cores. It is expected to manage large-scale simulations across hundreds (potentially up to thousands) of virtual machines each running small portions of a parallel algorithm.Broader Impacts: The proposal carries potential for strong broader impacts, as the acquisition will be widely used across many disciplines and colleges due to the intrinsic flexibility of this instrument and the lack of existing resources. Proposed is a good educational and outreach plan.