Development of a low-cost 64 bit cluster supercomputer for engineering and physics simulations

开发用于工程和物理模拟的低成本 64 位集群超级计算机

• 批准号: 0321170
• 负责人: Thomas Hauser
• 金额: $ 13.46万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0321170&HistoricalAwards=false
• 关键词: Development; low; cost; 64; bit

ABSTRACTProposal No. CTS-0321170Principal Investigator: J. T. Hauser, Utah State UniversityThis grant focuses on combining two leading-edge technologies, dual-processor AMDOpteron systems and Flat Neighborhood Networks (FNNs) based on Gigabit Ethernet, to develop a uniquely designed cluster supercomputer. In addition to providing a 64-bit memory address space, the Opteron uses a new memory architecture that should avoid the memory performance degradation normally associated with shared-memory multiprocessors. Similarly, using a FNN interconnection pattern makes it possible to achieve single-switch latency despite having more nodes than a low-cost network switch has ports. FNNs also provide the possibility to optimize the networking characteristics toward the communication patterns of applications running on the proposed cluster supercomputer. This project will provide a low-cost alternative to commercially available high performance cluster networking solutions such as Myrinet and Quadrics. The software to design and optimize such a network will be made available for free, so that other research groups can design and build their own cluster with FNNs. The proposed system will also provide valuable insight in the performance of a newly designed memory system for large applications compared to other available memory system designs.The research to be conducted includes computational fluid dynamics, ecohydraulics, fusion plasmas, geophysical fluid dynamics and computational chemistry. To meet the rising demand for students skilled in high-performance computing, the College of Engineering will introduce a course in parallel computing for engineering applications targeted at senior level undergraduate and beginning graduate students. This course as well as a one-week workshop on cluster computing will also be open to students in mathematics, physics, chemistry and computer science.In addition, the proposed cluster supercomputer will enhance current relationships with nearby national laboratories such as the Idaho National Engineering and Environmental Laboratory (INEEL). USU faculty and graduate students are developing very computationally intensive CFD models in conjunction with INEEL engineers. The visibility arising from this cooperative effort will further enhance the goal of attracting more students and faculty.

摘要建议编号 CTS-0321170主要研究者： J. T.犹他州州立大学的豪瑟这项拨款的重点是结合两个领先的技术，双处理器AMDOpteron系统和基于千兆以太网的平面邻域网络（FNN），开发一个独特设计的集群超级计算机。除了提供64位内存地址空间外，Opteron还使用了一种新的内存架构，可以避免通常与共享内存多处理器相关的内存性能下降。类似地，使用FNN互连模式使得可以实现单交换机延迟，尽管具有比低成本网络交换机具有的端口更多的节点。FNN还提供了优化网络特性的可能性，以实现在拟议的集群超级计算机上运行的应用程序的通信模式。该项目将为Myrinet和Quadrics等商用高性能集群网络解决方案提供低成本替代方案。设计和优化这种网络的软件将免费提供，以便其他研究小组可以使用FNN设计和构建自己的集群。所提出的系统还将提供有价值的洞察力的性能，一个新设计的存储系统的大型应用程序相比，其他可用的存储系统designs.The研究进行包括计算流体动力学，生态水力学，聚变等离子体，地球物理流体动力学和计算化学。为了满足学生在高性能计算技能不断增长的需求，工程学院将推出一门针对高级本科生和初级研究生的工程应用并行计算课程。该课程以及为期一周的集群计算研讨会也将向数学、物理、化学和计算机科学专业的学生开放。此外，拟议的集群超级计算机将加强与附近国家实验室（如爱达荷州国家工程和环境实验室（INEEL））的现有关系。USU教师和研究生正在与INEEL工程师一起开发计算密集型CFD模型。这种合作努力所产生的可见度将进一步提高吸引更多学生和教师的目标。