Nodes on Argon are separated into 3 types of queues:
- Investor queues: nodes purchased by investors. Access to these queues is managed by the investors and their delegates.
- UI queues: centrally funded nodes which are available to everyone who has an HPC account.
- all.q queue: cluster wide queue
Investor Queues
Queue | Description | Manager | Slots | Memory |
---|
ACB | (2) 56-core 256G | Adam Dupuy | 112 | 512 |
AIS | (1) 56-core 256G | Grant Brown | 56 | 256 |
AMCS | (1) 112-core 256G | Laurent Jay | 112 | 256 |
AML | (2) 56-core 256G | Aaron Miller | 112 | 512 |
AML-HM | (2) 112-core 1.5T (1) 80-core 1.5T | Aaron Miller | 304 | 4500 |
ANTH | (4) 56-core 128G | Andrew Kitchen | 224 | 512 |
ARROMA | (7) 56-core 128G (1) 56-core 256G | Jun Wang Jeremie Moen | 448 | 1152 |
ARROMA-80 | (4) 80-core 192G | Jun Wang | 320 | 768 |
ARROMA-Analysis | (2) 80-core 768G | Jun Wang | 160 | 1536 |
ARROMA-GPU | (1) 112-core 1024G w/ (4) NVIDIA A30 | Jun Wang | 112 | 1024 |
ARROMA-MAIA | (2) 80-core 192G | Jun Wang | 160 | 384 |
ARROMA-OPERATION | (1) 80-core 768G | Jun Wang | 80 | 768 |
AS | (5) 56-core 256G | Michael Spies | 280 | 1280 |
BH | (1) 56-core 512G | Bin He | 56 | 512 |
BIGREDQ | (13) 56-core 256G (3) 80-core 384G | Sara Mason | 968 | 4480 |
BIGREDQ-HM | (1) 80-core 768G | Sara Mason | 80 | 768 |
BIO-INSTR | (3) 56-core 256G | Bin He Bradley Carson Jan Fassler Dan Holstad Bradley Carson Matthew Brockman Hugh Brown JJ Urich Aran Cox Scott Allendorf | 168 | 768 |
BIOLOGY | (1) 56-core 256G | Matthew Brockman Dan Holstad Bradley Carson Hugh Brown JJ Urich Aran Cox Scott Allendorf | 56 | 256 |
BIOSTAT | (2) 56-core 128G (1) 80-core 384G | Daniel Sewell Grant Brown Patrick Breheny Brian Smith Yuan Huang | 192 | 640 |
BLAYES | (1) 56-core 512G | Sanvesh Srivastava | 56 | 512 |
BRAINBO-GPU | (1) 112-core 512G w/ (1) NVIDIA A100 80GB PCIe | Rainbo Hultman Benjamin Hing | 112 | 512 |
CASMA | (2) 112-core 512G | Jonathan Templin | 224 | 1024 |
CBIG | (1) 64-core 192G w/ (1) NVIDIA TITAN V JHH Special Edition (1) 56-core 256G | Mathews Jacob Qing Zou Qing Zou | 120 | 448 |
CBIG-A100 | (1) 112-core 1024G w/ (2) NVIDIA A100 80GB PCIe | Xiaodong Wu Mathews Jacob | 112 | 1024 |
CBIG-HM | (1) 56-core 512G w/ (2) Tesla P100-PCIE-16GB | Mathews Jacob | 56 | 512 |
CCOM | (18) 56-core 512G 5 Running jobs per user | Boyd Knosp | 1008 | 9216 |
CCOM-GPU | (2) 56-core 512G w/ (1) Tesla P100-PCIE-16GB | Boyd Knosp | 112 | 1024 |
CGRER | (10) 56-core 128G (4) 80-core 192G | Jeremie Moen | 880 | 2048 |
CHEMISTRY | (3) 56-core 256G | Bradley Carson Dan Holstad Bradley Carson Matthew Brockman Hugh Brown JJ Urich Aran Cox Scott Allendorf | 168 | 768 |
CLAS-INSTR | (2) 56-core 256G | Bradley Carson Dan Holstad Bradley Carson Matthew Brockman Hugh Brown JJ Urich Aran Cox Scott Allendorf | 112 | 512 |
CLAS-INSTR-GPU | (1) 40-core 192G w/ (1) NVIDIA GeForce GTX 1080 Ti (1) 40-core 192G w/ (2) NVIDIA GeForce GTX 1080 Ti (One node with single, one node with two accelerators) | Bradley Carson Dan Holstad Bradley Carson Matthew Brockman Hugh Brown JJ Urich Scott Allendorf | 80 | 384 |
CLIMATE | (1) 112-core 512G | Josep Comeron | 112 | 512 |
CLL | (5) 56-core 128G | Mark Wilson Brian Miller | 280 | 640 |
COB | (2) 56-core 256G | Brian Heil | 112 | 512 |
COB-GPU | (1) 40-core 192G w/ (2) NVIDIA TITAN V | Brian Heil | 40 | 192 |
CODBCB | (1) 64-core 384G w/ (1) NVIDIA TITAN V | Xian Xie Brad Amendt | 64 | 384 |
COE | (10) 56-core 256G Note: Users are restricted to no more than three running jobs in the COE queue. | Matt McLaughlin | 560 | 2560 |
COE-GPU | (2) 40-core 192G w/ (4) NVIDIA GeForce GTX 1080 Ti (2) 40-core 192G w/ (4) NVIDIA TITAN V | Matt McLaughlin | 160 | 768 |
DARBROB | (1) 56-core 256G | Benjamin Darbro | 56 | 256 |
EES | (10) 80-core 192G w/ (1) Tesla V100S-PCIE-32GB | William Barnhart | 800 | 1920 |
FERBIN | (14) 80-core 96G w/ (4) NVIDIA GeForce RTX 2080 Ti (13) 56-core 128G (4) 112-core 256G w/ (4) NVIDIA A10 | Adrian Elcock Robert McDonnell | 2296 | 4032 |
FFME | (16) 56-core 128G | Mark Wilson Brian Miller | 896 | 2048 |
FFME-HM | (1) 56-core 512G | Mark Wilson | 56 | 512 |
FLUIDSLAB | (6) 56-core 128G | Mark Wilson Brian Miller | 336 | 768 |
FOLLAND-LAB | (1) 80-core 384G w/ (1) Tesla V100S-PCIE-32GB | Thomas Folland | 80 | 384 |
GEOPHYSICS | (5) 56-core 128G (2) 80-core 192G | William Barnhart | 440 | 1024 |
GV | (2) 56-core 256G (1) 112-core 512G | Mark Wilson Brian Miller Gabriele Villarini | 224 | 1024 |
HCCC | (3) 112-core 1024G | Garay, Raygoza | 336 | 3072 |
HJ | (8) 56-core 128G | Hans Johnson | 448 | 1024 |
HJ-GPU | (1) 56-core 512G w/ (1) Tesla P100-PCIE-16GB | Hans Johnson | 56 | 512 |
IB | (3) 80-core 384G | | 240 | 1152 |
IDOT-FloodPeaks | (4) 80-core 384G | Gabriele Villarini | 320 | 1536 |
IFC | (10) 112-core 512G (10) 56-core 256G | Mark Wilson Brian Miller | 1680 | 7680 |
IIHG | (10) 56-core 256G | Melissa Lawrence Michael Chimenti Melissa Lawrence | 560 | 2560 |
INFORMATICS | (12) 56-core 256G | Research Services | 672 | 3072 |
INFORMATICS-GPU | (2) 40-core 192G w/ (3) NVIDIA TITAN V (2) 56-core 256G w/ (1) NVIDIA TITAN V | Research Services | 192 | 896 |
INFORMATICS-HM-GPU | (1) 56-core 512G w/ (2) Tesla P100-PCIE-16GB | Research Services | 56 | 512 |
IRRC | (1) 64-core 768G | Benjamin Walizer | 64 | 768 |
IVR | (2) 56-core 256G (1) 56-core 512G | Todd Scheetz | 168 | 1024 |
IVR-GPU | (1) 56-core 512G w/ (2) Tesla K80 | Todd Scheetz | 56 | 512 |
IVRVOLTA | (4) 56-core 512G w/ (1) NVIDIA TITAN V | Mike Schnieders | 224 | 2048 |
IWA | (10) 56-core 128G | Mark Wilson Brian Miller | 560 | 1280 |
JES | (1) 56-core 512G | Jacob Simmering | 56 | 512 |
JG | (8) 80-core 768G (2) 80-core 192G w/ (8) NVIDIA GeForce RTX 2080 Ti (2) 80-core 192G w/ (6) NVIDIA GeForce RTX 2080 Ti (1) 80-core 768G w/ (4) NVIDIA GeForce RTX 2080 Ti | Joe Gomes | 1040 | 7680 |
JM | (3) 56-core 512G (1) 80-core 384G | Jacob Michaelson Tanner Koomar Ethan Bahl Leo Brueggeman Taylor Thomas | 248 | 1920 |
JM-GPU | (1) 80-core 768G w/ (1) Tesla V100-PCIE-32GB (1) 80-core 1.5T w/ (6) NVIDIA GeForce RTX 2080 Ti (1) 56-core 512G w/ (1) Tesla P100-PCIE-16GB | Jake Michaelson | 216 | 2780 |
JP | (2) 56-core 512G | Virginia Willour | 112 | 1024 |
JS | (12) 56-core 256G (1) 56-core 512G | James Shepherd John Saxton | 728 | 3584 |
JS-DEV | (1) 56-core 256G | James Shepherd | 56 | 256 |
KA | (1) 56-core 512G | Kin Au | 56 | 512 |
LT | (2) 56-core 512G w/ (1) Tesla P100-PCIE-16GB | Luke Tierney | 112 | 1024 |
LUNG | (2) 112-core 1024G w/ (4) NVIDIA A100 80GB PCIe(nvlink) (2) 56-core 512G w/ (1) Tesla P40 (2) 64-core 768G w/ (2) Tesla V100-PCIE-32GB (1) 80-core 768G w/ (4) Quadro RTX 8000(nvlink) | Joseph Reinhardt Bidgoli, Motahari Sarah Gerard | 544 | 5376 |
MANORG | (1) 56-core 128G | Brian Heil Michele Williams | 56 | 128 |
MANSCI | (1) 112-core 512G (1) 56-core 128G | Qihang Lin | 168 | 640 |
MANSCI-GPU | (2) 64-core 384G w/ (4) NVIDIA GeForce RTX 2080 Ti (1) 80-core 384G w/ (4) NVIDIA GeForce RTX 2080 Ti (1) 56-core 512G w/ (1) Tesla P100-PCIE-16GB | Qihang Lin | 264 | 1664 |
MF | (9) 56-core 128G | Michael Flatte | 504 | 1152 |
MF-HM | (2) 56-core 512G | Michael Flatte | 112 | 1024 |
MIL | (1) 112-core 1024G | Merry Mani | 112 | 1024 |
MORL | (5) 56-core 256G | William Walls | 280 | 1280 |
MS | (7) 40-core 96G w/ (4) NVIDIA GeForce GTX 1080 Ti (5) 56-core 256G w/ (2) Tesla P100-PCIE-16GB (2) 80-core 96G w/ (8) NVIDIA GeForce RTX 2080 Ti (1) 40-core 96G w/ (4) NVIDIA TITAN V (1) 112-core 128G w/ (6) NVIDIA A10 | Michael Schnieders | 872 | 2368 |
NEURO | (1) 56-core 256G | Marie Gaine Ted Abel Yann Vanrobaeys | 56 | 256 |
NEUROSURGERY | (1) 56-core 512G w/ (2) Tesla K80 | Haiming Chen | 56 | 512 |
NOLA | (1) 56-core 512G | Edward Sander | 56 | 512 |
PINC | (6) 56-core 256G | Jason Evans | 336 | 1536 |
PINC-HM | (3) 80-core 768G | Jason Evans | 240 | 2304 |
QLIC-LAB | (1) 112-core 512G | | 112 | 512 |
QUANTUM | (1) 112-core 1024G w/ (2) NVIDIA A40(nvlink) | Gary Christensen | 112 | 1024 |
REX | (4) 56-core 128G | Mark Wilson Brian Miller | 224 | 512 |
REX-HM | (1) 56-core 512G | Mark Wilson Brian Miller | 56 | 512 |
RP | (5) 56-core 512G | Robert Philibert | 280 | 2560 |
RSKZ | (1) 112-core 1024G | Jim Chaffee Kang Zhao Rong Su | 112 | 1024 |
SEASHORE | (2) 80-core 768G (1) 112-core 512G | Kai Hwang Jiefeng Jiang Dorit Kliemann | 272 | 2048 |
SEMI | (1) 56-core 128G | Craig Pryor | 56 | 128 |
SHL | (2) 80-core 768G (1) 80-core 384G w/ (1) Tesla V100-PCIE-32GB | Valerie Reeb Alankar Kampoowale Wesley Hottel | 240 | 1920 |
SLOAN | (1) 56-core 256G | Colleen Mitchell | 56 | 256 |
STATEPI | (1) 56-core 256G | Linnea Polgreen | 56 | 256 |
TELOMER | (1) 56-core 512G | Anna Malkova | 56 | 512 |
TEMPLIN | (1) 80-core 768G (1) 56-core 256G | Jonathan Templin | 136 | 1024 |
UDAY | (4) 56-core 128G | Mark Wilson Brian Miller H Udaykumar | 224 | 512 |
UIOBL | (2) 80-core 384G w/ (2) Tesla V100-PCIE-32GB (2) 112-core 512G w/ (2) NVIDIA A40(nvlink) | Joshua Johnson Don Anderson Jessica Goetz Jacob Elkins | 384 | 1792 |
VOSSHBC | (1) 112-core 512G | Michelle Voss | 112 | 512 |
The University of Iowa (UI) queues
A significant portion of the HPC cluster systems at UI were funded centrally. These nodes are put into queues named UI or prefixed with UI-.
- UI → Default queue
- UI-HM→ request only for jobs that need more memory than can be met with the standard nodes.
- UI-MPI → MPI jobs; request only for jobs that can take advantage of multiple nodes.
- UI-GPU → Contains nodes with GPU accelerators; request only if job can use a GPU accelerator.
- UI-DEVELOP → Meant for small, short running job prototypes and debugging.
These queues are available to everyone who has an account on an HPC system. Since that is a fairly large user base there are limits placed on these shared queues. Also note that there is a limit of 50000 active (running and pending) jobs per user on the system.
Queue | Description | Wall_clock_limit | Running_jobs_per_user |
---|
UI | (27) 80-core 384G (9) 56-core 256G | None | 5 |
UI-DEVELOP | (1) 56-core 256G (1) 56-core 256G w/ (1) Tesla P100-PCIE-16GB | 24 hours | 1 |
UI-GPU | (8) 80-core 384G w/ (4) NVIDIA GeForce RTX 2080 Ti (4) 56-core 256G w/ (1) Tesla P100-PCIE-16GB (4) 40-core 192G w/ (4) NVIDIA TITAN V (2) 112-core 256G w/ (8) NVIDIA A10 (2) 112-core 256G w/ (4) NVIDIA A40(nvlink) (2) 40-core 192G w/ (4) NVIDIA GeForce GTX 1080 Ti (1) 64-core 384G w/ (4) NVIDIA GeForce GTX 1080 Ti (1) 64-core 384G w/ (3) NVIDIA GeForce GTX 1080 Ti (1) 64-core 192G w/ (1) NVIDIA GeForce GTX 1080 Ti (1) 64-core 192G w/ (2) NVIDIA TITAN V (1) 64-core 768G w/ (2) NVIDIA GeForce GTX 1080 Ti (1) 80-core 384G w/ (1) Tesla V100-PCIE-32GB (1) 56-core 256G | None | 1 |
UI-GPU-HM | (1) 80-core 1.5T w/ (8) NVIDIA GeForce RTX 2080 Ti | 24 hours | 1 |
UI-HM | (3) 80-core 1.5T (2) 64-core 768G | None | 1 |
UI-MPI | (23) 56-core 256G | 48 hours | 1 |
Note that the number of slots available in the UI queue can vary depending on whether anyone has purchased a reservation of nodes. The UI queue is the default queue and will be used if no queue is specified. This queue is available to everyone who has an account on a UI HPC cluster system.
The all.q queue
This queue encompasses all of the nodes and contains all of the available job slots. It is available to everyone with an account and there are no running job limits. However, it is a low priority queue instance on the same nodes as the higher priority investor and UI queue instances. The all.q queue is subordinate to these other queues and jobs running in it will give up the nodes they are running on when jobs in the high priority queues need them. The term we use for this is "job eviction". Jobs running in the all.q queue are the only ones subject to this.
Queue | Description | Slots | Memory |
---|
all.q | (147) 56-core 256G (106) 56-core 128G (40) 56-core 512G (39) 80-core 384G (20) 80-core 768G (19) 112-core 512G (14) 80-core 96G w/ (4) NVIDIA GeForce RTX 2080 Ti (12) 80-core 192G (10) 80-core 192G w/ (1) Tesla V100S-PCIE-32GB (10) 80-core 384G w/ (4) NVIDIA GeForce RTX 2080 Ti (8) 56-core 512G w/ (1) Tesla P100-PCIE-16GB (7) 40-core 96G w/ (4) NVIDIA GeForce GTX 1080 Ti (6) 40-core 192G w/ (4) NVIDIA TITAN V (5) 112-core 1024G (5) 80-core 1.5T (5) 56-core 256G w/ (2) Tesla P100-PCIE-16GB (5) 56-core 256G w/ (1) Tesla P100-PCIE-16GB (4) 112-core 256G w/ (4) NVIDIA A10 (4) 56-core 512G w/ (1) NVIDIA TITAN V (4) 40-core 192G w/ (4) NVIDIA GeForce GTX 1080 Ti (3) 64-core 768G (2) 56-core 256G w/ (1) NVIDIA TITAN V (2) 56-core 512G w/ (1) Tesla P40 (2) 56-core 512G w/ (2) Tesla K80 (2) 64-core 384G w/ (4) NVIDIA GeForce RTX 2080 Ti (2) 64-core 768G w/ (2) Tesla V100-PCIE-32GB (2) 56-core 512G w/ (2) Tesla P100-PCIE-16GB (2) 40-core 192G w/ (3) NVIDIA TITAN V (2) 80-core 192G w/ (8) NVIDIA GeForce RTX 2080 Ti (2) 80-core 192G w/ (6) NVIDIA GeForce RTX 2080 Ti (2) 80-core 768G w/ (4) NVIDIA GeForce RTX 2080 Ti (2) 112-core 1.5T (2) 112-core 512G w/ (2) NVIDIA A40(nvlink) (2) 112-core 1024G w/ (4) NVIDIA A100 80GB PCIe(nvlink) (2) 112-core 256G w/ (8) NVIDIA A10 (2) 80-core 96G w/ (8) NVIDIA GeForce RTX 2080 Ti (2) 112-core 256G w/ (4) NVIDIA A40(nvlink) (2) 80-core 192G w/ (2) NVIDIA GeForce RTX 2080 Ti (2) 80-core 384G w/ (1) Tesla V100-PCIE-32GB (2) 80-core 384G w/ (2) Tesla V100-PCIE-32GB (1) 40-core 96G w/ (4) NVIDIA TITAN V (1) 64-core 384G w/ (4) NVIDIA GeForce GTX 1080 Ti (1) 64-core 384G w/ (3) NVIDIA GeForce GTX 1080 Ti (1) 64-core 384G w/ (1) NVIDIA TITAN V (1) 64-core 192G w/ (1) NVIDIA TITAN V JHH Special Edition (1) 64-core 192G w/ (1) NVIDIA GeForce GTX 1080 Ti (1) 64-core 192G w/ (2) NVIDIA TITAN V (1) 64-core 768G w/ (2) NVIDIA GeForce GTX 1080 Ti (1) 112-core 512G w/ (1) NVIDIA A100 80GB PCIe (1) 112-core 1024G w/ (2) NVIDIA A40(nvlink) (1) 112-core 256G (1) 112-core 1024G w/ (4) NVIDIA A30 (1) 80-core 768G w/ (1) Tesla V100-PCIE-32GB (1) 80-core 768G w/ (4) Quadro RTX 8000(nvlink) (1) 112-core 1024G w/ (2) NVIDIA A100 80GB PCIe (1) 112-core 128G w/ (6) NVIDIA A10 (1) 40-core 192G w/ (1) NVIDIA GeForce GTX 1080 Ti (1) 40-core 192G w/ (2) NVIDIA GeForce GTX 1080 Ti (1) 40-core 192G w/ (2) NVIDIA TITAN V (1) 80-core 1.5T w/ (8) NVIDIA GeForce RTX 2080 Ti (1) 80-core 1.5T w/ (6) NVIDIA GeForce RTX 2080 Ti (1) 80-core 384G w/ (1) Tesla V100S-PCIE-32GB | 35152 | 178236 |
In addition to the above, there are some nodes that are not part of any investor queue. These are only available in the all.q queue and are used for node rentals and future purchases. The number of nodes for this purpose varies.
GPU selection policy
For queues that consist of all nodes containing a GPU, and are split out into a QUEUE-GPU queue, the policy is to set the ngpus
resource to 1 if not explicitly set. For other queues that contain GPU nodes the policy has been set by the queue owner to either request a GPU by default or not.