Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

Huihuo Zheng, ALCF
Student Training/Education
STS Session 1 Graphic Featuring the Presenter

From February 6 through March 26, 2024, the ALCF will host an 8-part weekly virtual training series to teach undergraduates and graduates the fundamentals of using world-class supercomputers to advance the use of AI for research.

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.


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

Arvind Ramanathan is a computational biologist in the Data Science and Learning Division at Argonne National Laboratory and a senior scientist at the University of Chicago Consortium for Advanced Science and Engineering (CASE). His research interests are at the intersection of data science, high performance computing and biological/biomedical sciences. He will be speaking about Autononous Discovery for Biological Systems Design.