DEISA: Dask-Enabled In Situ Analytics
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)（2021）
摘要
A widening performance gap is separating CPU performance and IO bandwidth on large scale systems. In some fields such as weather forecast and nuclear fusion, numerical models generate such amounts of data that classical post hoc processing is not feasible anymore due to the limits in both storage capacity and IO performance. In situ approaches are attractive to bypass disk accesses in these cases ...
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关键词
Analytical models,Codes,Computational modeling,Prototypes,Weather forecasting,Programming,Turning
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