insideHPC Special Report Accelerate WRF Performance – Expedite Predictions with In-Depth Workload Characterization Knowledge

White Papers > Big Data > insideHPC Special Report Accelerate WRF Performance – Expedite Predictions with In-Depth Workload Characterization Knowledge

A popular application that simulates climate change is the Weather and Research Forecasting (WRF) model,  which is a collaborative partnership of the National Center for Atmospheric Research (NCAR), the National  Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction  (NCEP) and the Earth System Research Laboratory), the U.S. Air Force, the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA). WRF is used by thousands of researchers worldwide in over 150 countries.

This white paper discusses how QCT can work with leading research and commercial organizations to lower the Total Cost of Ownership by supplying highly tuned applications that are optimized to work on leading-edge infrastructure. By reducing the time to get to a solution, more applications can be executed, or higher resolutions can be used on the same hardware. QCT also has experts that understand in detail various
HPC workloads and can deliver turnkey systems that are ready to use. For customers that wish to modify  source code or that develop their own applications, QCT supplied highly tuned libraries and extensive  guidance on how to get the most out of your infrastructure, that not only includes servers, but networking and storage as well.

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