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

提案#:12-29766PI(s): Alves-Foss, Jim；柳德米拉·巴兰尼克；波提尼基，加布里埃尔·P；兴,道;弗雷德里克·伊特伯格；机构：爱达荷大学职称：MRI/Acq项目建议：该项目来自EPSCoR状态，获得一个具有80个cpu， 2tb RAM和9.6 TB磁盘的“自适应计算服务器”，使计算流体和分子动力学领域的各种研究项目能够应用于生态学，能源系统，水力学和蛋白质结构。在计算机安全建模方面也开始了一项努力。该仪器支持多达40个独立的并发实验/模拟，每个实验/模拟具有2个处理器内核和50gb内存，可跨任意数量的处理器内核进行并行计算。它有望管理数百个（可能多达数千个）虚拟机的大规模模拟，每个虚拟机运行并行算法的一小部分。更广泛的影响：由于该工具的内在灵活性和现有资源的缺乏，该收购将广泛应用于许多学科和学院，因此该提案具有强大的更广泛影响的潜力。建议是一个很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.