Tutorial at SciFM Summer-school-2024 at University of Michigan 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 with a focus on SambaNova, Cerebras, Graphcore, Groq, and Nvidia systems along with architectural features and details of their software stacks. We will have hands-on exercises that will help attendees understand how to program these systems by learning how to refactor codes written in standard AI framework implementations and compile and run the models on these systems. The tutorial will enable the attendees with an understanding of the key capabilities of emerging AI accelerators and their performance implications for scientific applications.
Date: Wednesday, 17 July 2024 Time: 10:30 AM - 4:45 PM EST
Time (EST) | Topic |
---|---|
10.30 - 10:45 | Murali Emani(ANL) [Slides] |
10.45 - 11.15 | Sylvia Howland (Cerebras Systems) [Slides] |
11.15 - 11.45 | Vijay Tatkar (SambaNova Systems) [Slides] |
11.45 - 12.00 | Break |
12.00 - 12.30 | Chad Martin (Graphcore)[Slides] |
12.30 - 01.00 | Sanjif Shanmugavelu, Hatice Ozen (Groq) [Slides] |
01.00 - 02.00 | Lunch |
02.00 - 02:30 | Sam Foreman (ANL) (LLMs on Nvidia) [Slides] |
02.30 - 04:00 | Hands session on the AI Testbed: Sid Raskar, Varuni Sastry (ANL) |
04.00 - 04.15 | Break |
04.15 - 04:45 | Open Discussion, Q/A |
To gain access to AI Testbeds at ALCF, you may 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. Once this request is approved, please use the following steps to set up accounts.
- Overview of AI Testbeds at ALCF
- ALCF AI Testbed Documentation
- Director’s Discretionary Allocation Program
- SC24 Tutorial
- ALCF-AIAccelerator-tutorials Slack
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.