Feedback [ + ]
Roar Collab System Specs
Roar Collab (RC) is the flagship computing cluster for Penn State researchers. Designed with collaboration in mind, the RC environment allows for more frequent software updates and hardware upgrades to keep pace with researchers’ changing needs. RC utilizes the Red Hat Enterprise Linux (RHEL) 8 operating system to provide users with access to compute resources, file storage, and software. RC is a heterogeneous computing cluster comprised of different types of compute nodes, each of which can be categorized as a Basic, Standard, High-Memory, GPU, or Interactive node.
| Node Type (Designation) |
Core/Memory Configurations |
Description |
|---|---|---|
| Basic ( bc) |
24 cores, 126 GB 64 cores, 255 GB |
Connected via Ethernet Configured to offer about 4 GB of memory per core Best used for single-node tasks |
| Standard ( sc) |
24 cores, 258 GB 48 cores, 380 GB 48 cores, 512 GB |
Connected both via Infiniband and Ethernet Infiniband connections provide higher bandwidth inter-node communication Configured to offer about 10 GB of memory per core Good for single-node tasks and also multi-node tasks |
| High-Memory ( hc) |
48 cores, 1 TB 56 cores, 1 TB |
Connected via Ethernet Configured to offer about 25 GB of memory per core Best for memory-intensive tasks |
| GPU ( gc) |
28 cores, 256 GB 28 cores, 512 GB 48 cores, 380 GB |
Feature GPUs that can be accessed either individually or collectively Both A100 and P100 GPUs are available |
| Interactive ( ic) |
36 cores, 500 GB | Feature GPUs that are specifically configured for GPU-accelerated graphics Best for running graphical software that requires GPU-accelerated graphics |