This set of videos has been created to give ALCF users a high-level overview to get up and running quickly on Polaris.

Essential Environment Commands for Polaris

539 views1 year ago

Part One: How to Compile Code on Polaris

264 views1 year ago

Part Two: How to Compile Code on Polaris

160 views1 year ago

Part Three: How to Compile Code on Polaris

140 views1 year ago

Part One: How to Submit a Job on Polaris

164 views1 year ago

Part Two: How to Submit a Job on Polaris

170 views1 year ago
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.

Remote Workflows at ALCF

86 views2 months ago

Overview of DAOS and Best Practices

187 views3 months ago

Intel Performance Profiling Tools on Aurora

147 views4 months ago

chipStar: a HIP implementation for Aurora

96 views5 months ago

Deep Learning Frameworks on Aurora

101 views8 months ago

QMCPACK: Journey to Exascale on Aurora

79 views9 months ago
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.