USING DISTRIBUTED COMPUTING RESOURCES FOR ANALYSIS OF NEUROIMAGING DATA

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。 由神经成像研究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对海量数据的管理，以提供快速而准确的数据分析，并允许进行协作研究。在过去的两年里，我们与芝加哥大学计算研究所(CI)的研究人员合作，开发了使用集群和网格计算技术的神经成像数据的存储和分析方法。为了推进这些工作，我们现在准备使用CI开发的SWIFT提交系统对网格站点上的神经成像数据进行大规模分析。预计至少有7名用户将使用这一初始30K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.