Acquisition of computer system for computational biology

描述（由申请人提供）：该申请寻求资金用于10 TFlop计算机集群，具有4 TB分布式RAM，以支持来自康涅狄格大学的各种研究人员，他们正在研究计算生物学中具有挑战性的问题。NIH支持的项目包括计算细胞生物学、翻译基因组学和结构生物学。尽管按今天的标准，这不是一个大的集群，但它超过了这些调查人员可用的计算能力的几倍，而这些调查人员目前受到现有资源的严重限制。该集群将补充（并取代部分）由各个实验室维护的许多分散和过时的集群和小型SMP服务器。该集群将通过更先进的处理器技术、更大的总容量以及攻击超出当前能力的大规模并行计算的能力来促进计算。通过共享群集的维护和操作实现的效率将减少各个实验室支持各个群集所需的工作量。 公共卫生相关性：该申请旨在为康涅狄格大学的几个研究实验室之间共享的强大计算机系统提供资金。NIH支持的项目涵盖计算生物学和生物信息学的各个领域。拟议中的共享计算机将加速当前的研究，并允许研究人员解决他们目前无法解决的更复杂的问题。

DESCRIPTION (provided by applicant): This application seeks funding for a 10 TFlop computer cluster with 4 TB distributed RAM to support a diverse group of investigators from the University of Connecticut working on challenging problems in computational biology. The NIH-supported projects encompass computational cell biology, translational genomics, and structural biology. Even though this not a large cluster by today's standards, it exceeds by several times the computational capacity available to these investigators, who are currently severely constrained by existing resources. The cluster will supplement (and replace some of) a number of dispersed and out-dated clusters and small SMP servers maintained by individual labs. The cluster will facilitate computation through more up-to-date processor technology, increased total capacity, and the ability to attack massively parallel computations that are beyond the current capabilities. The efficiencies enabled by a shared maintenance and operation of the cluster will reduce the effort required by individual labs to support individual clusters. PUBLIC HEALTH RELEVANCE: This application seeks funding for a powerful computer system to be shared between several research laboratories from the University of Connecticut. The NIH-supported projects encompass diverse areas of computational biology and bioinformatics. The proposed shared computer will both accelerate current research and allow the investigators to tackle more complex problems that they cannot currently address with existing capabilities.