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.

这是一个在路易斯安那州立大学获得计算集群的奖项。 该计算机是一个名为SuperMIC的异构HPC集群，包含Intel Xeon Phi和NVIDIA Kepler K20 X GPU（图形处理单元）加速器。其目的是在推进依赖HPC的项目的同时，对此类集群的编程进行研究。这些努力包括模拟威胁沿海环境的条件和测试缓解技术;模拟癌症患者肿瘤/器官由于呼吸作用的运动，以帮助放射治疗计划和管理。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，需要更好的解决方案。SuperMIC将作为开发平台，通过整合GPU和Xeon Phi方法来扩展当前的编程框架，如Cactus。这样的框架允许用户无缝地从串行到多核再到分布式并行平台，而不需要改变他们的应用程序，同时还能实现高性能。SuperMIC项目将包括各级培训和教育，从高中生的Beowulf靴子营地到20多个年度LSU研讨会和LONI（路易斯安那州光网络计划）和LA-SiGMA（路易斯安那州模拟引导材料应用联盟）成员机构的学生计算科学远程学习课程。这些包括南方大学，泽维尔大学和格兰布林州立大学-所有历史上的黑人学院和大学（HBCU），其中有大量代表性不足的少数民族入学。SuperMIC集群将用于LSU和LA-SiGMA REU和RET计划。它将通过致力于NSF XSEDE计划和东南大学研究协会SURAgrid的资源影响全国HPC社区。 SuperMIC将向XSEDE XRAC分配委员会提交40%的机器使用率。

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