机译:数字天气和气候预测高性能计算中的弹性和容错
MOX – Modelling and Scientific Computing Dipartimento di Matematica Politecnico di Milano;
MOX – Modelling and Scientific Computing Dipartimento di Matematica Politecnico di Milano;
Institute for Applied Analysis and Numerical Simulation and Cluster of Excellence ‘Data-Driven Simulation Science’ University of Stuttgart;
Department of Aeronautics Imperial College London;
European Centre for Medium Range Weather Forecasts|AOPP Department of Physics University of Oxford;
Loughborough University;
HiePACS Inria Bordeaux Sud-Ouest;
Institute for Applied Analysis and Numerical Simulation and Cluster of Excellence ‘Data-Driven Simulation Science’ University of Stuttgart;
CEPP – Center for Excellence in Performance Programming Atos;
Sandia National Laboratories;
European Centre for Medium Range Weather Forecasts;
Fault-tolerant computing; high-performance computing; application-level resilience; numerical weather prediction; iterative solvers;
机译:基于高性能2-D流体动力模型和数值天气预报的实时洪水预测
机译:互联网和分布式计算系统的可用性,弹性和容错能力
机译:致力于通过进化计算技术改善数值天气预报
机译:气候-气候变化对关键基础设施安全性和复原力的长期预测
机译:高性能计算中迭代方法的容错
机译:评估数字天气预报和气候预测中的标度:百亿亿级(exascale)是救援吗?
机译:数字天气和气候预测高性能计算中的弹性和容错