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- lts : 20-core nodes purchased as part of the original cluster by LTS.
- Two 2.3GHz 10-core Intel Xeon E5-2650 v3, 25M Cache, 128GB 2133MHz RAM
- lts-gpu: 1 core per lts node is reserved for launching gpu jobs
- im1080 : 24-core nodes purchased by Wonpil Im, Department of Biological Sciences. Users can request a max of 20 cores per node.
- im1080-gpu : 2 cores per im1080 node is reserved for launching gpu jobs.
- Two 2.3GHz 12-core Intel Xeon E5-2670 v3, 30M Cache, 128GB 2133MHz RAM, Two EVGA Geforce GTX 1080 PCIE 8GB GDDR5
- eng : 24-core nodes purchased by various RCEAS faculty.
- eng-gpu : 2 cores per eng node is reserved for launching gpu jobs i.e. 1 core for each gpu.
- Two 2.3GHz 12-core Intel Xeon E5-2670 v3, 30M Cache, 128GB 2133MHz RAM, EVGA Geforce GTX 1080 PCIE 8GB GDDR5. Four nodes have two cards while other nodes have one card
- engc : 24-core nodes based on Broadwell CPUs purchased by ChemE Faculty. Users can request a max of 24 cores per node until GPUs are added to these nodes.
- Two 2.2GHz 12-core Intel Xeon E5-2650 v4, 30M Cache, 64GB 2133MHz RAM
- himem : 16-core node purchased by Economics Faculty with 512GB RAM.
- Two 2.6GHz 8-core Intel Xeon E5-2640 v3, 20M Cache, 512GB 2400MHz RAM
- Users utilizing this node will be charged a higher rate of SU consumption ( 3 SU/core hour). Please evaluate memory consumption of your job before submitting jobs to this partition. If you need to use this partition, please contact Alex Pacheco.
- enge,engi: 36-core node purchased by MEM faculty and ISE Department
- Two 2.3GHz 18-core Intel Xeon Gold 6140, 24.75M Cache, 192GB 2666MHz RAM
- This node features the newer AVX512 vector extension that provides twice the FLOPS of earlier generation Haswell/Broadwell CPUs at the expense of CPU speed.
- im2080: 36-core nodes purchased by Wonpil Im, Department of Biological Sciences. Users can request a max of 28 cores per node.
- im2080-gpu : 8 cores per im2080 node is reserved for launching gpu jobs i.e. 2 cores per gpu
- Two 2.3GHz 18-core Intel Xeon Gold 6140, 24.75M Cache, 192GB 2666MHz RAM, Four ASUS GeForce RTX 2080TI PCIE 11GB GDDR6
- chem: 36-core Sklyake (2) and Cascade Lake (4) nodes purchased by Lisa Fredin, Department of Chemistry
- (2) Two 2.3GHz 18-core Intel Xeon Gold 6140, 24.75M Cache, 192GB 2666MHz RAM
- (4) Two 2.6GHz 18-core Intel Xeon Gold 6240, 24.75M Cache, 192GB 2933MHz RAM
- health: 36-core core nodes purchased by the College of Health
- Two 2.6GHz 18-core Intel Xeon Gold 6240, 24.75M Cache, 192GB 2933MHz RAM
- hawkcpu: CPU nodes on Hawk
- Two 2.1GHz 26-core Intel Xeon Gold 6230R, 384GB RAM
- hawkgpu: GPU nodes on Hawk
- Two 2.1GHz 262GHz 24-core Intel Xeon Gold 6230R5220R, 1536GB 192GB RAM, 8 nVIDIA Tesla T4
- hawkmem: Big Memory nodes on Hawk
- Two 2.2GHz 24Two 2.1GHz 26-core Intel Xeon Gold 5220R6230R, 192GB 1536GB RAM, 8 nVIDIA Tesla T4
- infolab: 2 52-core Cascade Lake refresh nodes purchased by Brian Chen, CSE faculty (identical to Hawk CPU nodes)
- Two 2.1GHz 26-core Intel Xeon Gold 6230R, 384GB RAM
- pisces:
- ima40-gpu:CPU nodes)
- Two 2.1GHz 26-core Intel Xeon Gold 6230R, 384GB RAM
- pisces: 48-core node with A100 GPUs purchased by Keith Moored, Department of Mechanical Engineering and Mechanics.
- Two 3.0GHz 24-core Intel Xeon Gold 6248R, 35.75M Cache, 192GB RAM, 5 NVIDIA A100 40GB HBM2 GPUs
- Each A100 GPU is charged 48SUs/hour. A maximum of 10CPUs can be requested per A100.
- Two 3.0GHz 24-core Intel Xeon Gold 6248R, 35.75M Cache, 192GB RAM, 5 NVIDIA A100 40GB HBM2 GPUs
- ima40-gpu: 32-core nodes purchased by Wonpil Im, Department of Biological Sciences.
- Two 3.0GHz 16-core AMD EPYC 7302, 128M Cache, 256GB RAM, 8 NVIDIA A40 48GB GDDR6 GPUs
- Each A40 GPU is charged 24SUs/hour. A maximum of 4CPUs can be requested per A40.
- Two 3.0GHz 16-core AMD EPYC 7302, 128M Cache, 256GB RAM, 8 NVIDIA A40 48GB GDDR6 GPUs
Limitations
Partition | Max Wallclock in hours | Min/Max Cores/Node per Job | Max SUs/Node consumed per hour | Max memory in GB per core |
|---|---|---|---|---|
lts | 72 | 1/19 | 19 | 6 |
| lts-gpu | 72 | 1/20 | 20 | 6 |
im1080 | 48 | 1/20 | 20 | 5 |
im1080-gpu | 48 | 1/24 | 24 | 5 |
eng | 72 | 1/22 | 22 | 5 |
eng-gpu | 72 | 1/24 | 24 | 5 |
engc | 72 | 1/24 | 24 | 2.5 |
enge | 72 | 1/36 | 36 | 5 |
engi | 72 | 1/36 | 36 | 5 |
himem | 72 | 1/16 | 48 | 32 |
im2080 | 48 | 1/28 | 28 | 5 |
im2080-gpu | 48 | 1/36 | 36 | 5 |
| chem | 48 | 1/36 | 36 | 5 |
| health | 48 | 1/36 | 36 | 5 |
| hawkcpu | 72 | 1/52 | 52 | 7.3 |
| hawkmem | 72 | 1/52 | 52 | 29.3 |
| hawkgpu | 72 | 1/48 | 48 | 4.0 |
| infolab | 72 | 1/52 | 52 | 7.3 |
| pisces (GPU only) | 24 | 1/10 | TBD (A100 will be charged a higher rate)58 | 4.0 |
| ima40-gpu | 48 | 1/4 | TBD (A40 will be charged a higher rate)28 | 8.0 |
The himem partition is for running high memory jobs i.e. those requiring more than 6GB/core or for using the Artelys Knitro software. Do not submit jobs to the himem partition for running jobs that require lower memory per core. All jobs in the himem partition are charged 3 SUs per core hour of computing irrespective of how many cores or memory you consume.
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