MRI: Instrument Acquisition: Acquisition of Affordable Shared-memory Computing and Scalable Storage for Scientists and Engineers

该项目获得了一个多处理器节点集群，旨在为该机构的超订阅能力和高数据密集型研究的存储找到一种经济实惠的解决方案。共享内存资源对于不能很好地在集群上扩展的应用程序至关重要，这要么是由于所使用的软件范例，要么是由于需要大量的连续内存地址空间。现有的设施已经有许多用户利用现有的设备进行化学、天文学、并行计算、工程力学、地球科学等研究的模拟和相关实验。因此，此次收购有助于填补目前UNL研究计算设施资源的两个主要空白，即共享内存资源和可扩展存储、连续文件系统。新的基础设施将有助于缓解当前系统中的瓶颈。

This project, acquiring a cluster of multiprocessor nodes, aims at finding an affordable solution to the institution's oversubscribe power and storage for highly data intensive research. A shared memory resource is crucial for applications that do not scale well on a cluster, either due to the software paradigm used, or the large amount of contiguous memory address space required. The existing facility already has many users which take advantage of the available equipment to perform simulation and related experiments for research in Chemistry, Astronomy, Parallel Computing, Engineering Mechanics, Geosciences, etc. Hence, the acquisition contributes to fill two major gaps in the current UNL Research Computing Facility resources, shared memory resources and scalable storage, contiguous files system. The new infrastructure will help alleviate the bottleneck in the current systems.