Computation has joined theory and experiment as the third pillar in scientific discovery. Multithreaded and parallel programs are needed to drive future manycore devices. Modern applications produce or require huge volumes of data, requiring computing systems that have data-intensive capabilities.
Through the application of Georgia Tech Technology Fee grants, the College of Computing has acquired and co-operates two high-performance computing (HPC) clusters for use in courses in parallel/distributed algorithms, large-scale data analysis, multi-core programming, and other computing fields. Faculty teaching courses in the School of Computational Science and Engineering (CSE), the School of Interactive Computing (IC), the School of Computer Science (CS), the School of Cybersecurity and Privacy (SCP), and affiliated faculty in the School of Electrical and Computer Engineering may request access to these HPC resources prior to the semester for their class projects. TSO uses the following guidelines for granting requests to access these HPC resources:
- To maintain software reliability across all courses involved, only faculty requests sent to academicresources@cc.gatech.edu prior to the start of the semester will be considered.
- To optimize resource utilization, special projects course needs are considered only after all core and breadth course needs are met.
- Because HPC systems must often be specialized for particular classes of problems or specific programming tools, we will not be able to accommodate all requests.
For details on these HPC resources, please refer to the individual cluster pages linked in the table below:
| CLUSTER NAME | NODES | CORES | DESCRIPTION | OPERATING SYSTEM & ARCHITECTURE | ACCESS |
|---|---|---|---|---|---|
| PACE-ICE | 92 | 3,712 | 52x Compute Nodes 40x Compute Nodes w/ GPUs | Red Hat Enterprise Linux 9 - x86_64 | Supports CSE, CS, IC, SCP, and ECE courses requiring parallel and/or distributed compute jobs and/or medium-scale to large-scale data processing jobs Access for CoC Instructors and Courses can be requested here |
| HCE@CoC (Futurama) | 153 | 6,102 | 24x Compute Nodes 31x Compute Nodes w/ GPUs 103x Development Boards | Mixed OS & Architectures, including: Ubuntu 22, Ubuntu 24, and Red Hat Enterprise Linux 9 x86_64, ARM 64-bit, ARM 32-bit, RISC-V, and PowerPC 9 & 10 | Primarily a Technology Fee-funded heterogeneous hardware cluster supporting CS students for academic purposes Access for CoC Students and Instructors can be requested here
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If additional software is required, it can be requested using the following form: CoC Instructional Resource Software Request Form