Energy Exascale Earth System Model to Accelerate Climate Research
by Rich Brueckner from Inside HPC & AI News | High-Performance Computing & Artificial Intelligence on (#4ST2G)

As one of the Grand Challenges of our time, climate modeling typically requires long run times and huge computational resources. Sandia National Laboratories has awarded Kelsey DiPietro a Jill Hruby Fellowship to tackle this issue. As an applied mathematician, DiPietro has proposed a way to make computer models more efficient - improving accuracy without increasing time or resources to run them.
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