MRI: Acquisition of an Extreme GPU Cluster for Interdisciplinary Research

MRI：获取用于跨学科研究的 Extreme GPU 集群

• 批准号: 1429830
• 负责人: Todd Martinez
• 金额: $ 350万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1429830&HistoricalAwards=false
• 关键词: MRI; Acquisition; Extreme; GPU; Cluster

Stanford University requests $3,500,000 over 36 months to acquire an extreme GPU HPC cluster, called X-GPU, comprising 54 compute nodes built using the Cray Hydra technology with FDR Infiniband. Each node has Intel Haswell 12-cores; 8 NVIDIA Kepler cards; 128 GB of DDR4 memory; a 120 GB SSD and two 1 TB hard drives. energy-efficient, computational facility providing almost a petaflop of computational power. It will be used by 1) at least 25 research groups representing more than 100 students and postdoctorals at Stanford across 15 departments and 4 schools, 2) at least 8 collaborators from at least 7 other institutions across the nation, and 3) by as many as hundreds of national researchers through the NSF-sponsored XSEDE allocation system. The PIs plan to offer 25% of X-GPU to XSEDE to offset the impacts from the planned retiring of Keeneland, the current XSEDE resource providing heterogeneous parallel computing with CPUs and GPUs to the national community.Identified scientific outcomes enabled by this instrument include, but not limited to: astrophysics and cosmology, bioinformatics and biology, materials modeling, and climate modeling. The researchers have already invested significant efforts to develop modeling and simulation codes that can demonstrate high performance on GPU-accelerated clusters. The PIs plan develop software infrastructure and educational materials to help the national community in the transition to fine-grained parallel thinking and algorithm design, which is critical to effectively use this novel high-performance, low-cost, energy-efficient architecture.

斯坦福大学要求在 36 个月内花费 3,500,000 美元来购买一个名为 X-GPU 的极限 GPU HPC 集群，该集群由使用 Cray Hydra 技术和 FDR Infiniband 构建的 54 个计算节点组成。每个节点都有Intel Haswell 12核； 8 个 NVIDIA Kepler 卡； 128 GB DDR4 内存；一个 120 GB SSD 和两个 1 TB 硬盘。节能的计算设施，提供几乎千万亿次的计算能力。它将由 1) 至少 25 个研究小组使用，代表斯坦福大学 15 个系和 4 所学院的 100 多名学生和博士后；2) 来自全国至少 7 个其他机构的至少 8 名合作者；3) 通过 NSF 资助的 XSEDE 分配系统，由多达数百名国家研究人员使用。 PI 计划向 XSEDE 提供 25% 的 X-GPU，以抵消 Keeneland 计划退役的影响，Keeneland 是当前的 XSEDE 资源，为国家社区提供 CPU 和 GPU 的异构并行计算。该工具实现的已确定的科学成果包括但不限于：天体物理学和宇宙学、生物信息学和生物学、材料建模和气候建模。研究人员已经投入了大量精力来开发建模和仿真代码，以在 GPU 加速集群上展示高性能。 PI 计划开发软件基础设施和教育材料，以帮助国家社区过渡到细粒度并行思维和算法设计，这对于有效使用这种新颖的高性能、低成本、节能架构至关重要。