摘要
China Meteorological Administration (CMA) has a long history of using High Performance Computing System (HPCS) for over three decades. CMA HPCS investment provides reliable HPC capabilities essential to run Numerical Weather Prediction (NWP) models and climate models, generating millions of weather guidance products daily and providing support for Coupled Model Inter-comparison Project Phase 5 (CMIP5). Monitoring the HPCS and analyzing the resource usage can improve the performance and reliability for our users, which require a good understanding of failure characteristics. Large-scale studies of failures in real production systems are scarce. This paper collects, analyzes and studies all the failures occurring during the HPC operation period, especially focusing on studying the relationship between HPCS and NWP applications. Also, we present the challenges for a more effective monitoring system development and summarize the useful maintenance strategies. This step may have considerable effects on the performance of online failure prediction of HPC and better performance in future.
China Meteorological Administration (CMA) has a long history of using High Performance Computing System (HPCS) for over three decades. CMA HPCS investment provides reliable HPC capabilities essential to run Numerical Weather Prediction (NWP) models and climate models, generating millions of weather guidance products daily and providing support for Coupled Model Inter-comparison Project Phase 5 (CMIP5). Monitoring the HPCS and analyzing the resource usage can improve the performance and reliability for our users, which require a good understanding of failure characteristics. Large-scale studies of failures in real production systems are scarce. This paper collects, analyzes and studies all the failures occurring during the HPC operation period, especially focusing on studying the relationship between HPCS and NWP applications. Also, we present the challenges for a more effective monitoring system development and summarize the useful maintenance strategies. This step may have considerable effects on the performance of online failure prediction of HPC and better performance in future.
