CSE Computing Resources

Georgia Tech is home to state-of-the-art computing resources, including the Phoenix and PACE ICE clusters. These computing resources are assessable to School of CSE students, faculty, and scientists, conveniently co-located with the School of CSE in the Coda Building. 

Visit the PACE Coda Datacenter page for a general overview of the Phoenix and PACE ICE clusters and to take a virtual tour. For more detailed, technical documentation on these resources, visit the PACE Cluster Documentation page. 

Phoenix

Phoenix accelerates Georgia Tech’s computational research efforts in astrophysics, biology, health sciences, chemistry, materials, manufacturing, public policy, and other disciplines. Phoenix debuted In Fall 2020 at 1.84 Linpack petaflops of computing power, earning it a 277th ranking on the Top500. 

Since coming online in 2020, the cluster continues growing with additional hardware. In addition to its 34,816 cores from 1,395 nodes, there are 57 GPU nodes with 2x Tesla V100, 37 GPU nodes with 4x RTX6000, and 4 GPU nodes with 8x NVIDIA H100 GPUs that are instrumental in accelerating AI/ML/DL workloads. Here is a full listing of Phoenix cluster resources. 

Free-Tier Credits

Each PI is provided 1TB of project storage and a number of credits equivalent to 10,000 CPU-hours (per month) on a 192GB compute node. These credits may be used towards any computational resources (e.g., GPUs, high memory nodes) that are available within the Phoenix cluster. All PACE users also have access to the preemptable backfill queue at no cost. Unused free-tier credits roll over each month to a maximum of 4 months worth of credits (40K CPU-hours equivalent).

Visit the Participation in PACE page for more about free-tier, how to enroll, and a usage cost calculator.