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The Teton HPC cluster is the successor of Mount Moran. Teton contains several new compute nodes. All Mount Moran nodes have been reprovisioned within the Teton HPC Cluster. The system is available by SSH using hostname teton.arcc.uwyo.edu or teton.uwyo.edu. We ask that everybody who uses ARCC resources cite the resources accordingly. See Citing Teton. Newcomers to research computing should also consider reading the Research Computing Quick Reference.

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Contents

Table of Contents

Glossary

Training

Tip

HPC Training

Tip

Teton Overview

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Teton has a Digital Object Identifier (DOI) (https://doi.org/10.15786/M2FY47) and we request that all use of Teton appropriately acknowledges the system. Please see Citing Teton for more information.

Available Nodes

See Partitions for information regarding Slurm Partitions on Teton.

Available Nodes

Expand
titleClick Here to View Available Nodes

Type

Series

Arch

Count

Sockets

Cores

Threads / Core

Clock (GHz)

RAM (GB)

GPU Type

GPU Count

Local Disk Type

Local Disk Capacity (GB)

IB Network

Operating System

Status

Teton Regular

Intel Broadwell

x86_64

180

2

32

1

2.1

128

N/A

N/A

SSD

240

EDR

RHEL 7.6

Mo longer available for purchase

Intel Cascade Lake

x86_64

15

2

40

1

2.1

128

N/A

N/A

SSD

240

EDR

RHEL 7.6

Current Model

Teton BigMem GPU

Intel Broadwell

x86_64

8

2

32

1

2.1

512

NVIDIA P100 16G

2

SSD

240

EDR

RHEL 7.6

Mo longer available for purchase

Teton HugeMem

Intel Broadwell

x86_64

10

2

32

1

2.1

1024

N/A

N/A

SSD

240

EDR

RHEL 7.6

Mo longer available for purchase

Teton KNL

Intel Knights Landing

x86_64

12

1

72

4

1.5

384 + 16

N/A

N/A

SSD

240

EDR

RHEL 7.6

Mo longer available for purchase

Teton DGX

Intel Broadwell

x86_64

1

2

40

2

2.2

512

NVIDIA V100 32G

8

SSD

7 TB

EDR

Ubuntu 18.04.2 LTS

Available as special order

Moran Regular

Intel Sandbridge/Ivybridge

x86_64

283

2

16

1

2.6

64 or 128

k20 on some

2

HD

1T

FDR

RHEL 7.6

Mo longer available for purchase

Moran BigMem

Intel Sandbridge/Ivybridge

x86_64

2

2

16

1

2.6

512

K80

8

HD

1T

FDR

RHEL 7.6

Mo longer available for purchase

Moran Debug

Intel Sandbridge/Ivybridge

x86_64

2

2

16

1

2.6

64

k20m

2

HD

1T

FDR

RHEL 7.6

Mo longer available for purchase

Moran HugeMem

Intel Sandbridge/Ivybridge

x86_64

2

2

16

1

2.6

1024

k20

2

HD

1T

FDR

RHEL 7.6

Mo longer available for purchase

Moran DGX

Intel Broadwell

x86_64

1

2

40

2

2.2

512

NVIDIA V100 16G

8

SSD

7 TB

EDR

Ubuntu 18.04.2 LTS

Available as special order

TOTAL Nodes

516

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Teton has login nodes for users to access the cluster. Login nodes are available publicly using the hostname teton.arcc.uwyo.edu or teton.uwyo.edu. SSH can be done natively on MacOS or Linux based operating systems using the terminal and the ssh command. Although X11 forwarding is supported, and if you need graphical support, we recommend using FastX if at all possible. Additionally, you may want to configure your OpenSSH client to support connection multiplexing if you require multiple terminal sessions. For those instances where you have unreliable network connectivity, you may want to use either tmux or screen once you login to keep sessions alive during disconnects. This will allow you to later reconnect to these sessions.

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Teton has several shells available for use. The default is bash]. To change your default shell, please submit the request through standard ARCC request methods.hard

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The following tables list each node that has GPUs and the type of GPU installed.

Table #1

Expand
titleTable #1

Node

Partition

GPU Type

Number of Devices

GPU Memory Size (GB)

Compute Capability

GRES Flag

Teton Partition

Notes

m025

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m026

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m027

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m028

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m029

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m030

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m031

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m032

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m075

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m076

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m077

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m078

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m079

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m080

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m081

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m082

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m083

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

Disabled due to memory ECC errors

m084

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

Disabled due to memory ECC errors

m085

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

Disabled due to memory ECC errors

m086

moran

K20m

2

4

3.5

gpu:k20m:{1-2}

Yes

m219

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m220

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m227

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m228

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m235

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m236

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m243

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m244

moran

20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m251

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m252

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m259

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m260

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m267

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

m268

moran

K20Xm

2

5

3.5

gpu:k20xm:{1-2}

Yes

mdbg01

moran

GTX Titan X

1

12

5.2

gpu:TitanX:{1-1}

Yes

moran

GTX Titan

2

6

6.0

gpu:Titan:{1-2}

Yes

mdbg02

moran

K40c

2

11

3.5

gpu:k40c:{1-2}

Yes

moran

GTX Titan X

2

12

5.2

gpu:TitanX:{1-2}

Yes

mbm01

moran-gpu

K80

8

11

3.7

gpu:k80:{1-8}

No

mbm02

moran-gpu

K80

8

11

3.7

gpu:k80:{1-8}

No

tbm03

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm04

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm05

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm06

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm07

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm08

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm09

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

tbm10

teton-gpu

Tesla P100

2

16

6.0

gpu:P100:{1-2}

No

The following two GPU nodes are reserved for AI use.

Table #2

Node

Partition

GPU Type

Number of Devices

GPU Memory Size (GB)

Compute Capability

GRES Flag

Teton Partition

Notes

mdgx01

dgx

Tesla V100

8

16

7.0

gpu:V100-16g:{1-8}

No

tdgx01

dgx

Tesla V100

8

32

7.0

gpu:V100-32g:{1-8}

No

...