Anvil CPU

2FA/MFA

Anvil CPU resources provide general-purpose computing nodes for a wide range of research workloads. They are suitable for data processing, simulations, and other tasks that do not require GPUs.

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Jobs

Notes:

Specify your desired partition to prevent it from being automatically assigned to the shared queue
e.g.: -p wholenode
For node-exclusive (wholenode and wide) queues, your job will automatically be allocated one full node.
See Anvil example job scripts - https://docs.rcac.purdue.edu/userguides/anvil/jobs/#running-jobs

 

Queue specifications

Metrics updated 2026-06-16

Name Purpose CPUs GPUs RAM Jobs
30 days
 Wait Time
30-day trend
 Wall Time
30-day trend
debug 256 cores AMD EPYC™ 7763 CPUs 256GB 314
debug wait time: average 0.8 hours, range 0 to 4.2 hours over 30 days 0.8
debug wall time: average 0.2 hours, range 0 to 0.8 hours over 30 days 0.2
wholenode 2,048 cores AMD EPYC™ 7763 CPUs 256GB 26,383
wholenode wait time: average 8.1 hours, range 0.1 to 43.1 hours over 30 days 8.1
wholenode wall time: average 5.1 hours, range 0.5 to 11.3 hours over 30 days 5.1
wide 7,168 cores AMD EPYC™ 7763 CPUs 256 GB 482
wide wait time: average 4.9 hours, range 0 to 34.3 hours over 30 days 4.9
wide wall time: average 2.1 hours, range 0 to 4.7 hours over 30 days 2.1
shared 128 cores AMD EPYC™ 7763 CPUs 256 GB 625,955
shared wait time: average 14.7 hours, range 0.7 to 63.8 hours over 30 days 14.7
shared wall time: average 1.0 hours, range 0.3 to 3.4 hours over 30 days 1.0
highmem 128 cores AMD EPYC™ 7763 CPUs 256 GB 1,648
highmem wait time: average 1.9 hours, range 0 to 14.2 hours over 30 days 1.9
highmem wall time: average 6.3 hours, range 0.1 to 10.3 hours over 30 days 6.3

Software

The following software packages are among the most frequently used on Anvil CPU, based on job data from XDMoD.

Most Frequently Used

Application Description Research Discipline Jobs
python Python is a high-level, interpreted programming language known for its simplicity and readability. It supports multiple programming paradigms and has a vast ecosystem of libraries and frameworks. Computer & Information Sciences, Software Engineering, Systems & Development 61,383
orca Orca is a flexible, efficient, and powerful quantum chemistry software written by Frank Neese and co-workers. It provides accurate and reliable computational simulations of molecular structures and properties based on quantum mechanical methods. Chemical Sciences 11,015
lammps LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a classical molecular dynamics code designed for simulating large-scale atomistic systems. It is highly versatile and can be used to model a wide range of materials and complex molecular structures. Chemical Sciences 8,316
r R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows, and MacOS. Computer Science 2,772
gamess The General Atomic and Molecular Electronic Structure System (GAMESS) is a suite of ab initio quantum chemistry programs designed for electronic structure calculations of molecules and molecular reactions. It provides a wide range of methods for both molecules and periodic solids. Chemical Sciences 2,675
openfoam OpenFOAM (Open Source Field Operation and Manipulation) is a free, open-source computational fluid dynamics (CFD) software package developed by the OpenFOAM Foundation. It is widely used for simulating complex fluid flows in various industries and academic research. Physical Sciences 2,557
q-espresso 2,497
spec 2,302
gromacs GROMACS (GROningen MAssive Parallel MD for Molecular Dynamics) is a versatile package for molecular dynamics simulations with a strong emphasis on high-performance computing capabilities. Biological Sciences 2,265
citcoms 1,415

SEE ALL SOFTWARE AVAILABLE ON ANVIL CPU

Datasets

Name Description
AI

https://datasetdocs.readthedocs.io/en/latest/ai/index.html
Covariates

https://datasetdocs.readthedocs.io/en/latest/Covariates/index.html
Geospatial

https://datasetdocs.readthedocs.io/en/latest/geospatial/index.html
Hydrological

https://datasetdocs.readthedocs.io/en/latest/hydrological/index.html
iGenomes

https://datasetdocs.readthedocs.io/en/latest/igenomes/index.html
Meteorological

https://datasetdocs.readthedocs.io/en/latest/meteorological/index.html
GeoAI

https://datasetdocs.readthedocs.io/en/latest/geoai/index.html

Storage

File System

Directory Path Quota Purge Backup Notes
Anvil ZFS /home 25 GB Not Purged Home directories: area for storing personal software, scripts, compiling, editing, etc.
Anvil ZFS /apps N/A Not Purged Applications
Anvil GPFS /anvil N/A Not Purged
Anvil GPFS /anvil/scratch 100 TB Files older than 30-day will be purged User scratch: area for job I/O activity, temporary storage
Anvil GPFS /anvil/projects 5 TB Removed 90 days after allocation expiration Per allocation: area for shared data in a project, common datasets and software installation
Anvil GPFS /anvil/datasets Common data sets (not allocated to users)

External Storage

Files in scratch directories are not recoverable. Files in scratch directories are not backed up. If you accidentally delete a file, a disk crashes, or old files are purged, they cannot be restored.

$PROJECTspace. The project space will be created for each allocation. $PROJECT and $WORK variables refer to the same location and can be used interchangeably.

ANVIL CEPH

Anvil Ceph is intended to provide scalable, fault-tolerant, and high-throughput storage for large or persistent research data. It supports both object and block storage, making it suitable for hosting shared datasets, storing long-term research outputs, and enabling data access for containerized or cloud-integrated workflows. Ceph complements the Lustre-based storage tiers by offering durable and easily expandable storage for diverse data management needs.

Inspecting file system quotas

To check the quota of different file systems, type myquota at the command line.

For more information see the anvil user guide

https://docs.rcac.purdue.edu/userguides/anvil/file_management/

File Transfer

For more detailed information on transferring files, see the Anvil user guide https://docs.rcac.purdue.edu/userguides/anvil/file_management/#transferring-files

Supported Methods Data Transfer Node URL
SCP anvil.rcac.purdue.edu
RSYNC anvil.rcac.purdue.edu
GLOBUS anvil.rcac.purdue.edu
SFTP anvil.rcac.purdue.edu