MRI: Acquisition of a High-Performance Instrument for Heterogeneous and Biologically Inspired Architectures Research at CUA
MRI:CUA 采购用于异质和生物启发架构研究的高性能仪器
基本信息
- 批准号:1126120
- 负责人:
- 金额:$ 14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-01 至 2013-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Proposal #: 11-26120PI(s): El-Araby, Esam; Chang, Lin-Ching; Kilic, OzlemInstitution: Catholic University of America (CUA)Title: MRI/Acq.: High Performance Instrument for Heterogeneous and Biologically Inspired Architectures Research Project Proposed:This project, acquiring and integrating an SRC-7 system and a GPU cluster into one High Performance Heterogeneous Computing instrument, aims to investigate, model, design, and potentially prototype new heterogeneous architectures that are inspired from biology. The instrument will contribute to expand some of the available hardware accelerators such as reconfigurable Field Programmable Gate Arrays (FPGAs) and graphical (GPGPU) processors currently utilized for research in the fields of high-performance computing, computational neuroscience and medical informatics, and electromagnetic and remote sensing. It will facilitate research towards designing/discovering new heterogeneous architectures that are easy-to-use and highly productive. Moreover, the instrument will also allow investigating the use of new processor technologies through interdisciplinary collaborations with other research groups inside and outside the institution. In computational neuroscience and medical informatics, the high-performance cluster (HPC) will help in designing and developing new computational methods to process and analyze medical imaging data such as diffusion tensor magnetic imaging (DT-MRI). Although DT-MRI is used increasingly in clinical research for its unique ability to depict white matter tracts and for its sensitivity to microstructural and architectural features of brain tissue, it suffers a number of image artifacts that can corrupt diffusion weighted images (DWIs) which in turn affect DTI derived quantities. Although ideal for parallel computation, the post-processing DT-MRI data is very difficult and time consuming. The new instrument will help test new post-processing algorithms, explore the limitations of the existing technology, and develop solutions. In electromagnetic and remote sensing applications, the new instrument will help enhance the computation times of the numerically intensive problems faced by the research community for commercial and military applications. Design and optimization of metamaterials, performance analysis and optimization of antennas on platforms, and target detection behind clutter (e.g., soil, foliage, fog) represent some examples of the latter.Broader Impacts: This instrumentation enables realistic computational problems that can integrate research and teaching as well as promote learning through discovery. Hence, it is expected to contribute in producing a new generation of students and postdocs with the ability to face the current changes in computing technology. Moreover, the instrument enables the creation of a new interdisciplinary HEterogenous and Biologically Inspired Architectures research lab (HEBA). The project includes an outreach program, open house events that include community colleges, high school, and middle school students, and K-12 teachers. Increasing women and minorities is also targeted. Results will be shared and disseminated.
提案编号:11- 26120 PI(s):El-Araby,Esam; Chang,Lin-Ching; Kilic,Ozlem机构:美国天主教大学(CUA)标题: MRI/采集:研究项目建议:该项目,收购并集成SRC-7系统和GPU集群到一个高性能异构计算仪器,旨在研究,建模,设计和潜在的原型新的异构架构,灵感来自生物学。该仪器将有助于扩展一些可用的硬件加速器,如可重新配置的现场可编程门阵列(FPGA)和图形(GPGPU)处理器,目前用于高性能计算,计算神经科学和医学信息学以及电磁和遥感领域的研究。它将促进设计/发现新的异构体系结构的研究,这些体系结构易于使用且生产率高。此外,该仪器还将允许通过与机构内外的其他研究小组进行跨学科合作来调查新处理器技术的使用。在计算神经科学和医学信息学中,高性能集群(HPC)将有助于设计和开发新的计算方法来处理和分析医学成像数据,如扩散张量磁成像(DT-MRI)。 尽管DT-MRI由于其描绘白色物质束的独特能力以及其对脑组织的微结构和结构特征的敏感性而越来越多地用于临床研究,但它遭受了许多图像伪影,这些伪影可以破坏扩散加权图像(DWI),这反过来又影响DTI导出的量。虽然并行计算的理想,后处理DT-MRI数据是非常困难和耗时的。新仪器将有助于测试新的后处理算法,探索现有技术的局限性,并开发解决方案。在电磁和遥感应用方面,新仪器将有助于缩短研究界在商业和军事应用方面所面临的数值密集型问题的计算时间。超材料的设计和优化,平台上天线的性能分析和优化,以及杂波背后的目标检测(例如,更广泛的影响:这种仪器使现实的计算问题,可以整合研究和教学,以及促进通过发现学习。 因此,预计将有助于培养新一代的学生和博士后,使其能够面对当前计算机技术的变化。此外,该仪器还可以创建一个新的跨学科异质和生物启发建筑研究实验室(HEBA)。 该项目包括一个外展计划,开放日活动,包括社区大学,高中和中学生,以及K-12教师。增加妇女和少数民族也是目标。将分享和传播成果。
项目成果
期刊论文数量(0)
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Esam El-Araby其他文献
Portable library development for reconfigurable computing systems: A case study
- DOI:
10.1016/j.parco.2008.03.005 - 发表时间:
2008-05-01 - 期刊:
- 影响因子:
- 作者:
Proshanta Saha;Esam El-Araby;Miaoqing Huang;Mohamed Taher;Sergio Lopez-Buedo;Tarek El-Ghazawi;Chang Shu;Kris Gaj;Alan Michalski;Duncan Buell - 通讯作者:
Duncan Buell
Esam El-Araby的其他文献
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{{ truncateString('Esam El-Araby', 18)}}的其他基金
CAREER: Unifying Heterogeneity of Extreme-Scale Cyberinfrastructures for Higher Productivity and Performance Portability
职业:统一超大规模网络基础设施的异构性,以提高生产力和性能可移植性
- 批准号:
1942973 - 财政年份:2020
- 资助金额:
$ 14万 - 项目类别:
Continuing Grant
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