Intro to AI Series: AI Accelerators

Murali Emani, ALCF
Student Training/Education
STS Session 7 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 7

Trainees will learn about the current advances in AI hardware and the ALCF AI Testbed that is being integrated with existing and upcoming supercomputers at the facility to accelerate science insights.


Murali Emani is a Computer Scientist in the Data Science group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. Prior, he was a Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory, US. Murali obtained a PhD from the Institute for Computing Systems Architecture at the School of Informatics, University of Edinburgh, UK. His research interests are in Scalable Machine Learning, Benchmarking, Runtime Systems, Emerging HPC architectures, Parallel programming models, High Performance Computing

AI for Science Talk Speaker

Nesar Ramachandra is a cosmologist with interests in the dynamics of large-scale structure formation; he is also working on the implementation of state of the art statistical and machine learning methods for cosmological data analysis and fast prediction tools (emulators) as part of the SciDAC-4 project led by CPAC. In his talk, he will speak about AI for Cosmology.