Article 532AQ The Incorporation of Machine Learning into Scientific Simulations at LLNL

The Incorporation of Machine Learning into Scientific Simulations at LLNL

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#532AQ)
katie-lewis-148x150.jpg

Katie Lewis from Lawrence Livermore National Laboratory gave this talk at the Stanford HPC Conference. "Today, data science, including machine learning, is one of the fastest growing areas of computing, and LLNL is investing in hardware, applications, and algorithms in this space. While the use of simulations to focus and understand experiments is well accepted in our community, machine learning brings new challenges that need to be addressed. I will explore applications for machine learning in scientific simulations that are showing promising results and further investigation that is needed to better understand its usefulness."

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