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

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:
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
项目状态:
已结题
起止时间:
2009-09-01 至 2011-08-31

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中文摘要
翻译
该项目的目标是获得和集成能够处理生物医学应用中产生的越来越高分辨率,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Tesla集群,具有双精度图形处理单元(GPU)沿着,以及基于NEC Nehalem的多节点集群,通过Infiniband驱动Tesla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。智力优势:虽然并行计算和网格计算相对较好地理解,但有效使用具有大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旨在促进部署在布法罗大学,纽约州立大学和罗斯韦尔公园癌症研究所之间正在进行的生物医学研究项目,这种转型的计算范式。这些项目涵盖了生物医学计算的各个领域,从虚拟手术和介入、图像分割和标记、计算机断层扫描和重建、成像生物标志物和计算机辅助诊断,到核分子成像。该BCI使大量多学科研究人员能够释放生物医学企业中数字内容的全部潜力,并实现更快,更可靠的传输。从实验室到诊所的科学。 此外,围绕BCI计划了一项充满活力的传播和外联工作,包括课程,辅导和研讨会,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?从高中暑期研究所到会议讲习班的外联工作已经启动,门户网站记录了这些努力(http://www.cse.buffalo.edu/crivipin/nsf/cri2009/)。
英文摘要
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/).
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