Case Study

HOW PENGUIN COMPUTING TUNED ITS NEWEST HPC CLOUD CLUSTERTO OPTIMALLY RUN THE WRF APPLICATION

HOW PENGUIN COMPUTING TUNED ITS NEWEST HPC CLOUD CLUSTERTO OPTIMALLY RUN THE WRF APPLICATION

HOW PENGUIN COMPUTING TUNED ITS NEWEST HPC CLOUD CLUSTER TO OPTIMALL Y RUN THE WRF APPLICATION About The Weather Research and Forecasting (WRF) model, a mesoscale numerical weather prediction system for atmospheric research and weather forecasting, is critical to researchers who want to simulate weather and climate models. It is also one of the most widely used applications on Penguin Computing® On-Demand TM (POD TM ) Penguin Computing’s solution for customers who want to utilize a bare-metal, high-performance computing (HPC) computing environment without having to invest in on-premise infrastructure. To ensure that researchers reach the most accurate results possible, Penguin Computing engineers tuned the newest POD cluster, called MT2, to run optimally WRF. The System The Penguin Co

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