The high performance computing world is set to become more diverse over the next several years on the hardware front, but for software development, this new array of ever-higher performance options creates big challenges for codes. …
The fields where machine learning and neural networks can have positive impacts seem almost limitless. …
Weather modeling and forecasting centers are among some of the top users of supercomputing systems and are at the top of the list when it comes to areas that could benefit from exascale-class compute power. …
When considering system and software needs at massive scale, one application area that tends to shed light on what lies ahead is weather prediction and modeling. …
Having access to fairly reliable 10-day forecasts is a luxury, but it comes with high computational costs for centers in the business of providing predictability. …
In the course of tracking commercial and research supercomputers here at The Next Platform, it has become apparent that this is the year for massive refreshes and updates to existing weather prediction systems. …
It is one thing to know that large-scale, expensive supercomputers back the world’s capability to provide accurate global and regional forecasts, but it is another entirely to understand that the investments made in improving those systems can translate to billions, if not tens of billions, of dollars. …
Although weather forecasts are nested into the fabric of our daily lives, it can be easy to forget that to arrive at accurate, long-term predictions takes massive amounts of computing power. …
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