USING DISTRIBUTED COMPUTING RESOURCES FOR ANALYSIS OF NEUROIMAGING DATA

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 神经影像学研究所解决的日益复杂的研究问题对计算基础设施提出了实质性的要求。这些基础设施需要支持大量数据的管理，以提供快速和精确的数据分析，并允许协作研究。在过去的两年中，我们与芝加哥大学计算研究所（CI）的研究人员合作，开发了采用集群和网格计算技术的神经成像数据存储和分析方法。为了推进这些工作，我们现在准备使用CI开发的SWIFT提交系统，对GRID站点上的神经成像数据进行大规模分析。预计至少有7个用户将使用这一最初的30 K分配。

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. The increasingly complex research questions addressed by neuroimaging research impose substantial demands on computational infrastructures. These infrastructures need to support management of massive amounts of data in a way that affords rapid and precise data analysis and to allow collaborative research. During the past 2 years we have collaborated with researchers at The University of Chicagos Computational Institute (CI) to develop methods for storage and analysis of neuroimaging data that employ cluster- and grid-computing technologies. To advance these efforts we, we are now set to conduct large-scale analysis of neuroimaging data on GRID sites, using the SWIFT submission system developed at the CI. At least seven users are expected to make use of this initial 30K allocation.