On this page:

• System overview
• System access
• HPC software
• Set up your user environment
• File storage options
• Run jobs on Quartz
• Acknowledge grant support
• Get help

System overview

Quartz is Indiana University's high-throughput computing cluster. Designed to deliver large amounts of processing capacity over long periods of time, Quartz provides the advanced supercomputing performance needed to run high-end, data-intensive applications that are critical to scientific discovery and innovation.

Quartz features 92 compute nodes, each equipped with two 64-core AMD EPYC 7742 2.25 GHz CPUs and 512 GB of RAM, with a peak per-node performance of greater than 4,608 gigaFLOPS. All Quartz nodes are housed in the IU Bloomington Data Center, run Red Hat Enterprise 8.x, and are connected to the IU Science DMZ via 10-gigabit Ethernet. The Slate and Slate-Project file systems are mounted for temporary storage of research data. The Lmod environment management package allows users to dynamically customize their shell environments. Quartz uses Slurm to coordinate resource management and job scheduling.

System access

Quartz is currently in the early user phase. When the system enters production, IU students, faculty, and staff will be able to create Quartz accounts using the instructions in Get additional IU computing accounts.

Once your account is created, you can use any SSH2 client to access quartz.uits.iu.edu. Log in with your IU username and passphrase.

HPC software

The Research Applications and Deep Learning (RADL) group, within the Research Technologies division of UITS, maintains and supports the high performance computing (HPC) software on IU's research supercomputers. To see which applications are available on a particular system, log into the system, and then, on the command line, enter module avail.

To request software, submit the HPC Software Request form.

Set up your user environment

The IU research supercomputers use module-based environment management systems that provide a convenient method for dynamically customizing your software environment. Quartz uses the Lmod module management system. For help using Lmod to configure your user environment, see Use modules to manage your software environment on IU research supercomputers.

Quartz provides programming environments for the Intel, PGI, and GNU Compiler Collection (GCC) compilers. The default environment includes GCC compilers, OpenBLAS math libraries, and OpenMPI communication libraries.

File storage options

For file storage information, see Available access to allocated and short-term storage capacity on IU's research systems.

Run jobs on Quartz

Quartz uses the Slurm workload manager for resource management and job scheduling; see Use Slurm to submit and manage jobs on high performance computing systems. In Slurm, compute resources are grouped into logical sets called partitions, which are essentially job queues. To view details about available partitions and nodes, use the sinfo command; for more about using sinfo, see the View partition and node information section of Use Slurm to submit and manage jobs on high performance computing systems.

Acknowledge grant support

The Indiana University cyberinfrastructure, managed by the Research Technologies division of UITS, is supported by funding from several grants, each of which requires you to acknowledge its support in all presentations and published works stemming from research it has helped to fund. Conscientious acknowledgment of support from past grants also enhances the chances of IU's research community securing funding from grants in the future. For the acknowledgment statement(s) required for scholarly printed works, web pages, talks, online publications, and other presentations that make use of this and/or other grant-funded systems at IU, see Sources of funding to acknowledge in published work if you use IU's research cyberinfrastructure

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.