The WFU DEAC Cluster provides the critical infrastructure necessary for researchers to reliably upload research code, perform large scale computations and store their actively utilized results. Compute clusters provide the computational power needed to tackle more advanced scientific problems, opening up the possibility for our students to gain a unique perspective on topics at the forefront of research today. From sciences to the humanities, all Wake Forest University or Wake Forest University School of Medicine faculty members are encouraged to request use of the WFU DEAC Cluster for a course they are teaching. Several courses have already used the cluster to enhance student exposure to the advanced computing environment provided by the University.
iPhone HPC App
The iPhone HPC app will help WFU DEAC cluster users manage and view their submitted computational jobs. The app will allow users to see their list of jobs currently running and/or waiting from SLURM, the job and resource manager. Another goal of the app is to enable users to perform basic job management actions such as cancelling or viewing job details. The project is headed by Prof. Sam Cho and Prof. Daniel Canas from the Computer Science Department, and the work will be developed by a CS graduate student.
Software Engineering Course Project
Performance Modeling of the DEAC Cluster
Computer Science graduate student and former HPC Team summer-intern, Riana Freedman, is currently employing five distinct benchmarks on the DEAC cluster that provide meaningful metrics of processors, memory, I/O, network and GPU performance. The goal of this project is to model the performance behavior of the different hardware components utilizing algorithm numerical methods. This work is part of her Independent Studies course with Dr. Damian Valles from the IS department and Intro to Numerical Methods course with Prof. Grey Ballard from the Computer Science department.