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Introduction
High performance computing (HPC) has been key to solving the most complex problems in every industry and has been steadily changing the way we work and live. From weather forecasting to genome mapping to the search for extraterrestrial intelligence, HPC is helping to push the boundaries of what’s possible with advanced computing technologies.
Maxar’s WeatherDeskSM leverages these advanced computing technologies to deliver weather forecasts faster to customers, enabling them to make better informed business decisions. WeatherDesk builds HPC solutions on AWS to provide access to global numerical weather forecasts to stay ahead of emerging conditions that affect agriculture production, commodity trading, and financial markets. These forecasts are also vital for protecting critical infrastructure like power grids around the world, energy exploration and production, and even transportation. The WeatherDesk platform provides access to data services, web applications, and information reports to customers around the clock via a software-as-a-service (SaaS) suite of offerings designed for specific personas – data scientists and developers, researchers, and executives and operators, respectively.
Maxar uses a number of HPC services like Elastic Fabric Adapter (EFA), the AWS Nitro System and AWS ParallelCluster to deliver their solutions to their customers. All of this allows Maxar to scale HPC applications to tens of thousands of CPUs with the reliability, scalability, and agility of AWS that would otherwise be extremely difficult to achieve.
In this post, we will discuss how Maxar deploys all these tools to run short duration HPC workloads using the “fail fast” software development technique.
Reminder: You can learn a lot from AWS HPC engineers by subscribing to the HPC Tech Short YouTube channel, and following the AWS HPC Blog channel.
