MRI: Acquisition of SuperMIC -- A Heterogeneous Computing Environment to Enable Transformation of Computational Research and Education in the State of Louisiana

MRI：收购 SuperMIC——一种异构计算环境，以实现路易斯安那州计算研究和教育的转型

• 批准号: 1338051
• 负责人: Seung-Jong Park
• 金额: $ 392.42万
• 依托单位: Louisiana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1338051&HistoricalAwards=false
• 关键词: MRI; Acquisition; SuperMIC; Heterogeneous; Computing

This is an award to acquire a compute cluster at LSU. The computer is a heterogeneous HPC cluster named SuperMIC containing both Intel Xeon Phi and NVIDIA Kepler K20X GPU (graphics processing unit) accelerators. The intent is to conduct research on programming such clusters while advancing projects that are dependent on HPC. The efforts range from modeling conditions which threaten coastal environments and test mitigation techniques; to simulating the motions of tumors/organs in cancer patients due to respiratory actions to aid radiotherapy planning and management. The burden of learning highly complex hybrid programming models presents an enormous software development crisis and demands a better solution. SuperMIC will serve as the development platform to extend current programming frameworks, such as Cactus, by incorporating GPU and Xeon Phi methods. Such frameworks allow users to move seamlessly from serial to multi-core to distributed parallel platforms without changing their applications, and yet achieve high performance. The SuperMIC project will include training and education at all levels, from a Beowulf boot camp for high school students to more than 20 annual LSU workshops and computational sciences distance learning courses for students at LONI (Louisiana Optical Network Initiative) and LA-SiGMA (Louisiana Alliance for Simulation-Guided Materials Applications) member institutions. These include Southern University, Xavier University, and Grambling State University - all historically black colleges and universities (HBCU) which have large underrepresented minority enrollments. The SuperMIC cluster will be used in the LSU and LA-SiGMA REU and RET programs. It will impact the national HPC community through resources committed to the NSF XSEDE program and the Southeastern Universities Research Association SURAgrid. The SuperMIC will commit 40% of the usage of the machine to the XSEDE XRAC allocation committee.

这是在LSU获得计算集群的奖励。 该计算机是一个名为SuperMIC的异质HPC群集，其中包含Intel Xeon Phi和N​​vidia Kepler K20X GPU（图形处理单元）加速器。目的是在进行依赖HPC的项目的同时进行对此类群集进行编程的研究。努力从威胁沿海环境的建模条件和测试缓解技术的范围；由于呼吸疗法以帮助放射疗法计划和管理，模拟癌症患者肿瘤/器官的运动。学习高度复杂的混合编程模型的负担带来了巨大的软件开发危机，并需要更好的解决方案。 SuperMIC将通过合并GPU和Xeon Phi方法来扩展当前的编程框架（例如仙人掌）的开发平台。这样的框架使用户可以在不更改其应用程序的情况下无缝从串行到多核到分布式并行平台移动，却达到了高性能。 SuperMIC项目将包括各个级别的培训和教育，从高中学生的Beowulf新兵训练营到LONI（路易斯安那州光学网络计划）的20多个年度LSU研讨会和计算科学远程学习课程和LA-Sigma（路易斯安那州的LA-Sigma）（路易斯安那州联盟（LOUISIANA Alliance for Louisiana Alliance for Simulation Materiation Materials Applications）成员机构。其中包括南部大学，泽维尔大学和革兰堡州立大学 - 所有历史上的黑人学院（HBCU），这些大学的人数不足。 SuperMIC群集将用于LSU和LA-SIGMA REU和RET程序中。它将通过致力于NSF XSEDE计划和东南大学研究协会Suragrid的资源来影响国家HPC社区。 SuperMIC将将机器使用的40％用于XSEDE XRAC分配委员会。

项目成果

Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies

利用大数据和深度学习技术构建智慧城市的分布式网络基础设施

• DOI: 10.1109/icdcs.2018.00127
• 发表时间: 2018
• 期刊: 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS
• 作者: Shams, Shayan;Goswami, Sayan;Lee, Kisung;Yang, Seungwon;Park, Seung-Jong
• 通讯作者: Park, Seung-Jong