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High Performance & Scientific Computing

Academic Resources



The High Performance & Scientific Computing (HPSC) group can assist instructors at the University of Tennessee by providing access to research computing resources such as compute nodes and storage space.

Academic resources can be provided by OIT HPSC on two clusters, ISAAC-NG and ISAAC Legacy, depending on the needs of the class. The instructions to request the resources for academic purposes are summarized as the following:

Step I: Submit a resources ticket request that includes the following:

  • Course number and course name;
  • Dedicated computing resources (e.g. number of CPUs, GPUs, etc.);
  • Start and end time of the reservation for the computing resources;
  • (Optional) List of software packages needed for the class;
  • (Optional) If assistance is needed in preparing HPC-related materials for the course;
  • (Optional) Any other support needed.

A new class project with 1 TB of storage space will be created for the current semester’s course by default, even if there is already a project for the same course from the previous semester.

Step II: Ask the class participants to request an ISAAC account and go through the recordings of Workshops and Trainings to get an overview of using ISAAC. This is important because having an active ISAAC account is the prerequisite for a user accessing the class project.

Step III: After official class registration closes, update the ticket created in step one by uploading the class roster (in.csv or.txt format), including the student name and UTid. Each member of the class roster will have access to a class project, and all currently active class members will share the storage of the class project.

Step IV: Join Us on Zoom ISAAC OFFICE HOURS on the HPSC website for further assistance.

(Note: only authenticated users will be able to enter the Zoom session)

By default, access to the class project will be terminated after the completion of the current semester.

List of courses supported so far (updated on July 2022)

OIT HPSC Academic Course Support Report

SemesterCourseCourse DescriptionProjectInstructorStudent CountJobsReserved Nodes/Cores
Summer 2022CHEM 123/133General Chemistry I/IIACF-UTK0110A. Hatab1009442 nodes/32 cores
Spring 2022PHYS 573/643Numerical Methods of Physics/Computational PhysicsACF-UTK0182KK. Read123091 node/24 cores
Spring 2022PHYS 494/594Intro to Machine Learning for ScientistsACF-UTK0184A. Maestro316191 GPU node/48 cores
Spring 2022MSE 614Classical Materials ModelingACF-UTK0186D. Keffer2125381 node/16 cores
Spring 2022DSE 512Intro to Data ScienceACF-UTK0188D. Schmidt12202 nodes/96 cores
Spring 2022CHEM 123/128, 133/138General Chemistry I/IIACF-UTK0110A. Hatab200156034 nodes/64 cores
Fall 2021PHYS 311Mechanics 1ACF-UTK0173L. Lee308362 nodes/32 cores
Fall 2021COSC 462Parallel ProgrammingACF-UTK0175S. Seal2114844 nodes/96 cores
Fall 2021CHEM 570 Quantum Chemistry and SpectroscopyACF-UTK0181S. Roy161962 nodes/32 cores
Fall 2021CHEM 123/128, 133/138General Chemistry I/IIACF-UTK0110A. Hatab200192314 nodes/64 cores
Summer 2021 CHEM 123/133General Chemistry I/II ACF-UTK0110A. Hatab100 9442 nodes/32 cores
Spring 2021PHYS 573/643Numerical Methods of Physics/Computational PhysicsACF-UTK0145K. Read142091 node/24 cores
Spring 2021DSE 512Intro to Data ScienceACF-UTK0150J. Hinkle2113641 node/24 cores
Spring 2021MATH 578Numerical Methods for Conservation LawsACF-UTK0151V. Alexiades113351 node/16 cores
Spring 2021CHEM 573Chemical Kinetics and DynamicsACF-UTK0153S. Roy121491 node/16 cores
Spring 2021PHYS 494/594Intro to Machine Learning for ScientistACF-UTK0154A. Maestro3010951 node/16 cores
Spring 2021CHEM 123/128, 133/138General Chemistry I/IIACF-UTK0110A. Hatab200124254 nodes/64 cores
Fall 2020EPP 622Bioinformatics ApplicationsACF-UTK0138M.Stanton4453483 nodes/48 cores
Fall 2020CHEM 420Computational ChemistryACF-UTK0139S. Roy2314011 node/16 cores
Fall 2020CHEM 123/128, 133/138General Chemistry I/IIACF-UTK0110A. Hatab200172124 nodes/64 cores