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This Short Course (2.5 hours) introduces researchers to the Slurm scheduler on the ACES cluster, a composable accelerator testbed at Texas A&M University.

This course is an introduction to the R programming language and covers the fundamental concepts needed to operate in the R environment with a particular focus on data science.

Accelerating AI/ML Workflows on a Composable Cyberinfrastructure

This short course covers basic topics in CUDA programming on NVIDIA GPUs. Topics include

Designed for beginners, this session is ideal for anyone looking to dive into the world of data science, including students, faculty, and professionals.

In the final workshop of the Generative AI series, participants will learn about the advanced aspects of generative AI, focusing on customizing and tuning their models.

Part 2 of the Generative AI workshop series delves deeper into the technical underpinnings of generative AI.

In this initial RCAC Generative AI Series workshop, attendees will explore the art and science of prompt engineering in the realm of generative AI.

This 1-hour primer covers various job scheduling approaches using the Slurm Workload Manager on the ACES cluster, a composable accelerator testbed at Texas A&M University.

This 1-hour primer covers starting and using a Jupyter notebook in Open OnDemand on the ACES cluster, a composable accelerator testbed at Texas A&M University.