The CRC provides different hardware types to target different computing use cases. These hardware profiles are grouped together under a common cluster name and are further divided into partitions to highlight differences in the architecture or usage modes.
| Cluster Acronym | Full Form of Acronym | Description of Use Cases |
| mpi | Message Passing Interface | For tightly coupled parallel codes that use the Message Passing Interface APIs for distributing computation across multiple nodes, each with its own memory space |
| htc | High Throughput Computing | For genomics and other health sciences-related workflows that can run on a single node |
| smp | Shared Memory Processing | For jobs that can run on a single node where the CPU cores share a common memory space |
| gpu | Graphics Processing Unit | For AI/ML applications and physics-based simulation codes that had been written to take advantage of accelerated computing on GPU cores |
Below, you will find the hardware specifications for each cluster and the partitions that compose it as well as the VIZ and Login nodes as listed in our user manual.
Use the menu icon on the top left of the iframe to open navigation to the pages for other clusters.