II-NEW: GPU Cluster for Computing Research

II-新：用于计算研究的 GPU 集群

• 批准号: 0958354
• 负责人: Julien Langou
• 金额: $ 43.5万
• 依托单位: University of Colorado at Denver-Downtown Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-15 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958354&HistoricalAwards=false
• 关键词: II; NEW; GPU; Cluster; Computing

This project is for the acquisition of a GPU cluster dedicated to research on High Performance Computing. The selected infrastructure (a cluster of GPUs) presents itself as a serious candidate for the future of High Performance Computing. Indeed, the theoretical cost efficiency(GFlop/sec/dollar) and the theoretical power efficiency (GFlop/sec/Watt) scores very high compared to current other high performance computing platforms. However, two huge challenges are whether relevant application codes can reach a reasonable fraction of the peak of these computing platforms and how to reach this performance level. The PIs collaborative effort answers these research questions from various angles. The proposed infrastructure is supporting their research on these issues.The codes produced by this collaborative effort are included in well-known software packages (LAPACK, NVIDIA CUBLAS, ScaLAPACK, WRF).

这个项目是为了收购一个专门研究高性能计算的GPU集群。所选择的基础设施（一个gpu集群）是未来高性能计算的重要候选。事实上，理论成本效率（GFlop/sec/dollar）和理论功率效率（GFlop/sec/Watt）与目前其他高性能计算平台相比得分非常高。然而，两个巨大的挑战是相关的应用程序代码能否达到这些计算平台峰值的合理部分，以及如何达到这个性能水平。PIs的合作努力从不同的角度回答了这些研究问题。拟议的基础设施正在支持他们对这些问题的研究。这种协作产生的代码包含在著名的软件包中（LAPACK、NVIDIA CUBLAS、ScaLAPACK、WRF）。