Argonne Leadership Computing Facility

Conducted in an interactive format, attendees are encouraged to bring any questions related to ALCF computing resources. Stay tuned to this webpage for details on upcoming sessions.

Ready for Aurora

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Remote Workflows at ALCF

Argonne Leadership Computing Facility

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Overview of DAOS and Best Practices

Argonne Leadership Computing Facility

301 views5 months ago

Intel Performance Profiling Tools on Aurora

Argonne Leadership Computing Facility

153 views6 months ago

chipStar: a HIP implementation for Aurora

Argonne Leadership Computing Facility

111 views7 months ago

Deep Learning Frameworks on Aurora

Argonne Leadership Computing Facility

105 views10 months ago

Intro to AI-driven Science on Supercomputers: A Student Training Series

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The ability of artificial intelligence (AI) to successfully learn from large datasets has transformed science and engineering as we know it. AI can accelerate scientific discovery and innovation but often requires more computing power than is available to most researchers. The DOE provides supercomputers to solve the nation’s biggest scientific challenges and this series aims to introduce a new generation of AI practitioners to these powerful resources. Building on the ALCF's robust training program in the areas of AI and supercomputing, we are hosting a series of hands-on courses that will teach attendees to use leading-edge supercomputers to develop and apply AI solutions for the world's most challenging problems. This year, we will focus on understanding the fundamentals of large-language models (LLMs) and their scientific applications.

Argonne Leadership Computing Facility

ALCF AI Testbed Training

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ALCF AI Testbed Training: Cerebras CS-2: Getting Started

ALCF AI Testbed Training: Job Monitoring and Profiling

ALCF AI Testbed Training: Roadmap

ALCF AI Testbed Training: Sparsity Accelerated Training

ALCF AI Testbed Training: Introduction

ALCF AI Testbed Training: Huggingface to CS 2 Overview

Getting Started on Polaris

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Essential Environment Commands for Polaris

Part One: How to Compile Code on Polaris

Part Two: How to Compile Code on Polaris

Part Three: How to Compile Code on Polaris

Part One: How to Submit a Job on Polaris

Part Two: How to Submit a Job on Polaris

ALCF Developer Sessions

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Ready for Aurora

Remote Workflows at ALCF

Overview of DAOS and Best Practices

Intel Performance Profiling Tools on Aurora

chipStar: a HIP implementation for Aurora

Deep Learning Frameworks on Aurora

Intro to AI-driven Science on Supercomputers: A Student Training Series

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Intro to AI Series: Intro to Artificial Intelligence on Supercomputers

Intro to AI Series: Introduction to Neural Networks

Advanced Topics in Neural Networks

Intro to AI Series: Introduction to Large Language Models LLM

Intro to AI Series: LLM: Embeddings and Tokenization

Intro to AI Series: Parallel Training Methods for AI

Science Visualizations

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Discovery Simulations on ALCF's Aurora Supercomputer

Visualizing Turbulent Flow in the Army Research Combustor Midsize(ARC-M1)

Visualizing the Evolution of the Electron Fraction of a 23-Solar-Mass Star

Interpretable AI for Gravitational Wave Astrophysics

Visualizing Turbulent Flow in an Internal Combustion Engine (ICE)

Supernova Explosion and Neutron-Star Birth of a 25-Solar-Mass Star