BUILDING A HIGH PERFORMANC BIOINFORMATICS CLUSTER

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 我们建议在美国大学建立一个高性能的生物信息学集群。集群基于SD Brin资助的32节点(CPU)高性能机器。我们将把它与最先进的生物信息学软件环境相结合。由此产生的集群将成为美国大学和南达科他州生物信息学研究的高性能平台。它还将作为进行高性能计算的平台。具体地说，我们建议在生物信息学的背景下研究处理器可视化的性能，这是一种高性能计算技术。预计拟议的项目将对美国大学和SD大学的生物信息学和高性能计算研究产生重要影响。我们已经做了一些初步的努力，并取得了宝贵的经验。我们的经验和现有实力将确保该项目继续进行。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We propose to build a high performance bioinformatics cluster at USD. The cluster is bsed on the 32-node (64 CPUs) high performance machine funded by SD BRIN. We will integrate it with the state-of-the-art bioinformatics software environment. The resulting cluster will serve as a high performance platform for bioinformatics research at USD and for the state of SD. It will also act as a platform to conduct high performance computing. Specifically, we propose to investigate the performance of processor visualization, a type of high performance computing technique, in bioinformatics context. The proposed project is expected to make an important impact on the bioinformatics and high performance computing research at USD and in SD. We have already made some initial efforts and gained valuable experience. Our experience and existing strength will ensure that the project continue to be carried out.