The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application...The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.展开更多
In the last two decades, computational hydraulics has undergone a rapid development following the advancement of data acquisition and computing technologies. Using a finite-volume Godunov-type hydrodynamic model, this...In the last two decades, computational hydraulics has undergone a rapid development following the advancement of data acquisition and computing technologies. Using a finite-volume Godunov-type hydrodynamic model, this work demonstrates the promise of modern high-performance computing technology to achieve real-time flood modeling at a regional scale. The software is implemented for high-performance heterogeneous computing using the OpenCL programming framework, and developed to support simulations across multiple GPUs using a domain decomposition technique and across multiple systems through an efficient implementation of the Message Passing Interface （MPI） standard. The software is applied for a convective storm induced flood event in Newcastle upon Tyne, demonstrating high computational performance across a GPU cluster, and good agreement against crowd- sourced observations. Issues relating to data availability, complex urban topography and differences in drainage capacity affect results for a small number of areas.展开更多
It is hard for applications to make full utilization of the peak bandwidth of the storage system in highperformance computers because of I/O interferences,storage resource misallocations and complex long I/O paths.We ...It is hard for applications to make full utilization of the peak bandwidth of the storage system in highperformance computers because of I/O interferences,storage resource misallocations and complex long I/O paths.We performed several studies to bridge this gap in the Sunway storage system,which serves the supercomputer Sunway TaihuLight.To locate these issues and connections between them,an end-to-end performance monitoring and diagnosis tool was developed to understand I/O behaviors of applications and the system.With the help of the tool,we were about to find out the root causes of such performance barriers at the I/O forwarding layer and the parallel file system layer.An application-aware I/O forwarding allocation framework was used to address the I/O interferences and resource misallocations at the I/O forwarding layer.A performance-aware data placement mechanism was proposed to mitigate the impact of I/O interferences and performance variations of storage devices in the PFS.Together,applications obtained much better I/O performance.During the process,we also proposed a lightweight storage stack to shorten the I/O path of applications with N-N I/O pattern.This paper summarizes these studies and presents the lessons learned from the process.展开更多
文中采用现代先进的信息技术和计算技术,研究基于高性能并行计算的水利水电大型科学计算平台体系和构建,并采用Sun Fire 6800R和Sun Cluster Tools初步形成了高性能并行计算平台的架构,结合水利水电科学计算的实践,通过数学模型的结构...文中采用现代先进的信息技术和计算技术,研究基于高性能并行计算的水利水电大型科学计算平台体系和构建,并采用Sun Fire 6800R和Sun Cluster Tools初步形成了高性能并行计算平台的架构,结合水利水电科学计算的实践,通过数学模型的结构分析、并行改造,探索、推广并行计算技术在水利水电数学模型计算领域的应用,并以此构架基于网络的开发式并行计算共享平台。展开更多
文摘The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.
基金Project supported by the UK NERC SINATRA Project(Grant No.NE/K008781/1)
文摘In the last two decades, computational hydraulics has undergone a rapid development following the advancement of data acquisition and computing technologies. Using a finite-volume Godunov-type hydrodynamic model, this work demonstrates the promise of modern high-performance computing technology to achieve real-time flood modeling at a regional scale. The software is implemented for high-performance heterogeneous computing using the OpenCL programming framework, and developed to support simulations across multiple GPUs using a domain decomposition technique and across multiple systems through an efficient implementation of the Message Passing Interface （MPI） standard. The software is applied for a convective storm induced flood event in Newcastle upon Tyne, demonstrating high computational performance across a GPU cluster, and good agreement against crowd- sourced observations. Issues relating to data availability, complex urban topography and differences in drainage capacity affect results for a small number of areas.
基金This work is supported by the National Key Research and Development Program of China under Grant No.2016YFB1000504the Natural Science Foundation of China under Grant Nos.61433008,61373145,and 61572280,and China Postdoctoral Science Foundation under Grant No.2018M630162.
文摘It is hard for applications to make full utilization of the peak bandwidth of the storage system in highperformance computers because of I/O interferences,storage resource misallocations and complex long I/O paths.We performed several studies to bridge this gap in the Sunway storage system,which serves the supercomputer Sunway TaihuLight.To locate these issues and connections between them,an end-to-end performance monitoring and diagnosis tool was developed to understand I/O behaviors of applications and the system.With the help of the tool,we were about to find out the root causes of such performance barriers at the I/O forwarding layer and the parallel file system layer.An application-aware I/O forwarding allocation framework was used to address the I/O interferences and resource misallocations at the I/O forwarding layer.A performance-aware data placement mechanism was proposed to mitigate the impact of I/O interferences and performance variations of storage devices in the PFS.Together,applications obtained much better I/O performance.During the process,we also proposed a lightweight storage stack to shorten the I/O path of applications with N-N I/O pattern.This paper summarizes these studies and presents the lessons learned from the process.
文摘文中采用现代先进的信息技术和计算技术,研究基于高性能并行计算的水利水电大型科学计算平台体系和构建,并采用Sun Fire 6800R和Sun Cluster Tools初步形成了高性能并行计算平台的架构,结合水利水电科学计算的实践,通过数学模型的结构分析、并行改造,探索、推广并行计算技术在水利水电数学模型计算领域的应用,并以此构架基于网络的开发式并行计算共享平台。
