Get started on Carbonate
On this page:
- System overview
- Accounts, access, and user policies
- Programming environment
- Run jobs
- X forwarding and interactive jobs
- Application-specific help
- Get help
System overview
Carbonate is Indiana University's large-memory computer cluster. Designed to support data-intensive computing, Carbonate is particularly well-suited for running genome assembly software, large-scale phylogenetic software, and other genome analysis applications that require large amounts of computer memory. Carbonate provides specialized deep learning (DL) and GPU partitions for researchers with deep learning applications and other applications that require GPUs. Additionally, Carbonate offers a colocation service to IU researchers, research labs, departments, and schools.
Following is a selection of IU Knowledge Base documents to help you get started using Carbonate. For additional documentation, search the Knowledge Base.
Carbonate is moving its scheduling environment to Slurm. On or before June 30, 2021, the TORQUE resource manager integrated with Moab Workload Manager will no longer be available on Carbonate. To help facilitate this transition, a Slurm debug partition has been created on Carbonate; use this debug partition to test and migrate current TORQUE job submission scripts to Slurm. For more about using Slurm, see Use Slurm to submit and manage jobs on high performance computing systems.
Accounts, access, and user policies
- Access Carbonate
- Your responsibilities as a computer user at IU
- Available access to allocated and short-term storage capacity on IU's research systems
- Work with research data containing PHI
Programming environment
- HPC Applications
- Use Modules to manage your software environment
- Carbonate software installation policy
- Compile programs on Carbonate
Run jobs
X forwarding and interactive jobs
Application-specific help
Get help
Support for IU research supercomputers, software, and services is provided by various teams within the Research Technologies division of UITS.
- If you have a system-specific question, contact the High Performance Systems (HPS) team.
- If you have a programming question about compilers, scientific/numerical libraries, or debuggers, contact the UITS Research Applications and Deep Learning team.
For general questions about research computing at IU, contact UITS Research Technologies.
For more options, see Research computing support at IU.