TROY – Altair announced that Germany’s national meteorological service Deutscher Wetterdienst has selected Altair?s PBS Professional for workload management on its two Cray XC30 supercomputing systems.
Researchers and scientists at DWD will utilize the petascale systems to produce higher resolution and more accurate global and regional weather predictions to help fulfill the organization’s wide array of weather responsibilities, including the meteorological safeguarding of aviation and shipping and the issuance of official warnings of weather occurrences that could become dangerous to public safety.
“At DWD it is our mission to ensure the highest levels of accuracy in weather and climate information services,” said Dr. Dieter Schr�der, CIO at DWD. “Our researchers and scientists must be able to rely on their supercomputing systems for high availability, performance and scalability, so we needed a workload manager proven to operate in large, complex production environments. PBS Professional provides the bulletproof reliability and flexibility we need to manage our critical numerical weather prediction workloads and ensure faster, more reliable computing performance.”
“Everyone relies on weather prediction, from first responders to vacationing golfers,” said Bill Nitzberg, chief technology officer of PBS Works at Altair. “Delivering high-fidelity, accurate and timely forecasts requires a level of reliability and performance far above what is required in other HPC areas. Reliability is a key strength for PBS Professional, which is why top global weather centers like DWD choose Altair for the workload management capabilities required to deliver their world-class services.”
Numerical weather prediction uses many different types of simulations, modeling techniques and components at different spatial and temporal scales. The meteorological models used are extremely data-intensive, and the computational and data requirements to simulate these models are massive. In addition, with increases in available data and better understanding of the requirements for improving forecast accuracy, demands for handling complexity and big data movement grow even higher. Thus, weather centers require not only scalable architectures that support highly compute-intensive applications and efficient data movement ? they also require a well-integrated solution built by experts who understand the experience of architecting and delivering systems at scale and complexity.
