Weather and climate forecasting simulations are constantly increasing the resolution, physics and data needed to provide for more accurate forecasting. More data and more simulation mathematics leads to a required increase in CPUscpus and memory requirements.
Most vendors provide both single-processor and multi-processor versions of their weather and climate forecasting applications, and as such, users can run either single processes using all the memory in the system, multiple processes in parallel that share the memory, or one or more jobs running in multi-processor mode. This flexibility enables engineers and researchers to run more simulations with greater flexibility — without the risk of running out of memory for large jobs — or to run demanding jobs on the entire system using parallel versions of the applications when available. This dramatically accelerates their application/simulation development efforts, for faster time-to-insights.
Popular Applications include:
- MM5 (MPI and OpenMP)