Purdue University

Research Experience for Undergraduates (REU)

The Rosen Center for Advanced Computing (RCAC) is seeking students for Research Experiences for Undergraduates (REU) paid internships for Summer '23. This program aims at developing the next generation workforce in advanced computing and cyberinfrastructure technologies. It offers students from diverse backgrounds, the opportunity to gain the knowledge and skills necessary to build and support advanced research computing systems and scientific applications. Modeled after the RCAC's decade long successful student apprentice program, the REU students will learn by doing, working on the National Science Foundation funded Anvil system in a team environment and mentored by cyberinfrastructure professionals.

Open to undergrad students from all backgrounds. Each student will present their work to Purdue staff, faculty, and researchers at the end of the program, and may present at a national conference as part of the program. The 2023-year's program runs from May through August 2023.

Applications will be accepted until February 15, 2023.

Applicants must be U.S. citizens. Questions should be directed to anvil@purdue.edu.

Projects - Summer 2023

In each research project students will work closely with a member of our staff. The projects will be in a wide variety of areas, including data analytics, high performance computing, DevOps, and containerization. Descriptions of past student projects can be found in the Projects page.

Data analytics: Instrument and perform analysis of scientific application workloads on the Anvil system.

Integrate the XALT job-level usage activity monitoring tool for deeper analysis of workloads.

High Performance Computing (HPC): Extend the Anvil system to burst scientific workflows into the Microsoft Azure cloud.

Implement direct cloud burst from Anvil to Azure for HPC and accelerator workloads based on the work with Microsoft in 2022.

Kubernetes: To support science gateways applications, extend Anvil’s Kubernetes-based composable subsystem to use cloud-based Kubernetes clusters.

Connect the Anvil composable subsystem’s Rancher management platform to Azure Kubernetes Service to support elastic-scaling of workloads for science gateway applications.

Containers to Support Education: Enable the use of large-scale notebook deployments to provide interactive access to Anvil in support of education.

Develop deployment solutions for the Jupyter notebook and Rstudio interactive computing platforms on Anvil’s composable subsystem for education and training activities.

Program Highlights

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