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Programming Novel AI Accelerators for Scientific Computing

Scientific applications are increasingly adopting Artificial Intelligence (AI) techniques to advance science. There are specialized hardware accelerators designed and built to run AI applications efficiently. With a wide diversity in the hardware architectures and software stacks of these systems, it is challenging to understand the differences between these accelerators, their capabilities, programming approaches, and how they perform, particularly for scientific applications.

In this tutorial, we will cover an overview of the AI accelerators landscape focusing on Cerebras, SambaNova, and Groq along with architectural features and details of their software stacks. We will have hands-on exercises to help attendees understand how to program these systems by learning how to refactor codes, compile, run and evaluate the models on these systems. The tutorial will provide the attendees with an understanding of the key capabilities of these AI accelerators and their performance implications for scientific applications.

Tutorial at SCA/HPC Asia 2026

Date 26 January 2026
Time 9:30 AM - 12.30 PM local time

Speakers:

Murali Emani (ANL), Leighton Wilson (Cerebras), Petro Jr Milan/Tim Clark (SambaNova),

Agenda

Time (EST) Topic/Speaker
9:30 AM - 9:45 AM Welcome and Overview of the ALCF AI Testbed (Murali)
Slides
9:45 AM - 10:45 AM Cerebras (Leighton) Slides
10:45 AM - 11:15 AM Coffee Break
11.15 AM - 12:00 PM SambaNova (Tim) Slides
12:00 PM - 12:20 PM Groq (Murali)
12.20 PM - 12:30 PM Q&A and Conclusion (Murali)

Request Account on AI Testbeds At ALCF

Director’s Discretionary Allocation Program

To gain access to AI Testbeds at ALCF apply for Director’s Discretionary Allocation Program that provides “start up” awards to researchers working to achieve computational readiness for for a major allocation award.

Useful Links

Acknowledgements

Contributors: Murali Emani, Varuni Sastry

This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.

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