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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 SambaNova, Cerebras, Graphcore, Groq, and Habana systems 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 and compile and run the models on these systems. The tutorial will provide the attendees with an understanding of the key capabilities of emerging AI accelerators and their performance implications for scientific applications

Tutorial at SC24

Date 17 November 2024
Time 8:30am - 5pm EST
Location B201

Agenda

Time (EST) Topic/ Speaker
08.30 - 08.40 AM Overview: Murali Emani(ANL)
Slides
08.40 - 09.10 AM Cerebras: Leighton Wilson (Cerebras)
Slides
09.10 - 10.00 AM Hands-on With Cerebras Systems
Leighton Wilson (Cerebras), Sid Raskar (ANL)
Instructions
10.00 - 10.30 AM Coffee Break
10.30 - 11.00 AM Habana: Buke Ao (Intel Habana)
Slides
11.00 - 11.30 AM Hands-on with Intel Habana Gaudi2
Buke Ao (Intel Habana)
Instructions
11.30 - 12.00 PM Sambanova: Petro Junior Milan (Sambanova)
Slides
12.00 - 01.30 PM Lunch Break
01.30 - 02.00 PM Hands-on with Sambanova Systems
Petro Junior Milan (Sambanova), Sid Raskar (ANL)
Instructions
02.00 - 02.30 PM Groq: Sanjif Shanmugavelu (Groq)
Slides
02.30 - 03.00 PM Hands-on with Groq Systems
Sanjif Shanmugavelu (Groq), Sid Raskar (ANL)
Instructions
03.00 - 03.30 PM Coffee Break
03.30 - 04.00 PM Graphcore: Sid Raskar (ANL)
Slides
04.00 - 04.30 PM Hands-on with Grapchore Systems
Sid Raskar (ANL)
Instructions

Request Account on AI Testbeds At ALCF

  • Request an ALCF Computer User Account if you do not currently have one
  • If you have an ALCF Account that is currently inactive, submit an account reactivation request*.
  • If you have an active ALCF account, click Join Project to submit a membership request. Specify the following in your request: Project Name: aitestbed_tutorial

Contact [email protected] M-F 9am to 5pm CT. Reach out to us on slack channel #help-accounts on ALCF-AIAccelerator-tutorials Slack.

SC24 Tutorial allocation will stay active till end of November 2024.

Director’s Discretionary Allocation Program

To gain access to AI Testbeds at ALCF after tutorial allocation expires apply for Director’s Discretionary Allocation Program

The ALCF Director’s Discretionary program provides “start up” awards to researchers working to achieve computational readiness for for a major allocation award.

Useful Links

Acknowledgements

Contributors: Siddhisanket (Sid) Raskar, Varuni Sastry, Bill Arnold, Murali Emani.

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.