Intro to AI Series: Session 1

Trainees will learn the basics of supercomputers and high-performance computing. They will be introduced to parallel programming and the fundamentals of training AI models on supercomputers.

Lecturer 

Huihuo Zheng is a Computer Scientist at the Argonne Leadership Computing Facility. His areas of interests include data management and parallel I/O, large-scale distributed training. He applies high performance computing and deep learning to various domain sciences, such as physics, chemistry and material sciences. He also co-lead the MLPerf Storage Benchmarking group to develop benchmark suites for evaluating the performance of storage system for AI applications.  

AI for Science Talk Speaker 

Troy Arcomano is a postdoctoral fellow at Argonne National Lab working on machine learning applications for weather and climate in the EVS division. During his time at ANL, he was the Argonne lead for several projects including a large collaboration to create a state-of-the-art foundation model for weather prediction. Troy received his PhD at Texas A&M University where he worked on developing machine learning applications for weather forecasting and investigated how machine learning could be used to improve climate models. He'll be speaking about the AI revolution for Weather and Climate.