II-NEW: Acquisition of BCI - A Biomedical Computing Infrastructure

II-新：收购 BCI - 生物医学计算基础设施

• 批准号: 0855220
• 负责人: Vipin Chaudhary
• 金额: $ 63.82万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855220&HistoricalAwards=false
• 关键词: II; NEW; Acquisition; BCI; Biomedical

The goal of this project is to acquire and integrate Biomedical Computing Infrastructure (BCI) capable of processing the increasingly high-resolution, large-volume, and high-frequency digital content generated within biomedical applications. The BCI will comprise: a large NVIDIA processor-based Tesla cluster with double precision Graphics Processing Units (GPUs) along with a multi-node NEC Nehalem-based cluster to drive the Tesla cluster via Infiniband; large shared memory multi-core computer nodes; and a large parallel high-performance solid-state disk farm. Intellectual Merit: While parallel- and grid-computing is relatively well understood, effective use of a cluster of massively multi-core GPUs with large memory, and fast disk access has as yet been minimally explored. Thus, the BCI seeks to facilitate deployment of this transformational computational paradigm in ongoing biomedical research projects between the University at Buffalo, SUNY and the Roswell Park Cancer Institute. These projects encompass the gamut of biomedical computing from: virtual surgery and intervention; image segmentation and labeling; computer tomography and reconstruction; imaging biomarkers and computer-aided diagnosis; to nuclear molecular imaging.Broader Impact: This BCI empowers a large group of multidisciplinary researchers to unlock the full potential of the digital content in the biomedical enterprise as well as attain faster and more reliable transfer of science from the lab to the clinic. In addition, a vibrant dissemination and outreach effort has been planned around the BCI, involving classes, tutorials and workshops, to engage students and researchers of all ages. Many of these activities forming the foundation of the team?s outreach efforts, ranging from the high-school summer institutes to conference workshops, have already been initiated and the web-portal documents these efforts (http://www.cse.buffalo.edu/~vipin/nsf/cri2009/).

该项目的目标是获得并集成能够处理生物医学应用中产生的日益高分辨率、大容量和高频数字内容的生物医学计算基础设施(BCI)。BCI将包括：基于NVIDIA处理器的大型特斯拉集群，配备双精度图形处理单元(GPU)，以及通过Infiniband驱动特斯拉集群的基于NEC Nehalem的多节点集群；大型共享内存多核计算机节点；以及大型并行高性能固态磁盘场。智能优点：虽然并行和网格计算相对容易理解，但有效利用具有大容量内存和快速磁盘访问的大规模多核GPU集群的探索还很少。因此，BCI寻求促进在布法罗大学、纽约州立大学和罗斯威尔公园癌症研究所之间正在进行的生物医学研究项目中部署这一变革性的计算范式。这些项目涵盖了生物医学计算的范围，从虚拟手术和干预；图像分割和标记；计算机断层扫描和重建；成像生物标记物和计算机辅助诊断；到核分子成像。广泛的影响：这种BCI使一大群多学科的研究人员能够在生物医学企业中充分释放数字内容的潜力，并实现更快、更可靠的科学从实验室到临床的转移。此外，围绕BCI计划了一项充满活力的传播和外联努力，包括课堂、教程和讲习班，以吸引所有年龄段的学生和研究人员。其中许多活动构成了团队的基础？S的外展努力，从高中暑期研习班到会议研讨会，已经启动，门户网站记录了这些努力(http://www.cse.buffalo.edu/~vipin/nsf/cri2009/).