About#

SMU’s high-performance computing (HPC) clusters, M3 and the NVIDIA DGX SuperPOD, feature state-of-the-art CPUs, accelerators, and networking technologies, high memory capacity per node, and advanced interactive experiences via the Open OnDemand Portal.

The clusters provides a familiar interactive experience for researchers, which includes the Ubuntu Linux operating system, the SLURM resource scheduler, and the Lmod environment module system. Additionally, familiar development tool chains are available including the GCC, Intel, and NVIDIA compiler suites. Optimized high-level programming environments such as MATLAB, Python, and R are also installed in addition to the domain specific software packages that SMU researchers depend on for their work.

HPC System

M1 (Retired)

M2 (Retired)

M2 (Retired)

SuperPOD

M3

Year

2014

2017

2019

2022

2023

Compute Ability

104 TFLOPS

630 TFLOPS

870 TFLOPS

1,644 TFLOPS

1,077 TFLOPS

Number of Nodes

1,104

349

354

20

181

CPU Cores

8,832

11,088

11,276

2,560

22,892

Total GPU Cores

0

132,608

275,968

1,392,640

122,880

Total Memory

29.2 TB

116.5 TB

120 TB

52.5 TB

103 TB

Network Bandwidth

20 Gb/s

100 Gb/s

100 Gb/s

200 Gb/s

200 Gb/s

Work Storage

None

None

768 TB

768 TB

3.5 PB

Scratch Space

1.4 PB

1.4 PB

2.8 PB

750 TB

3.5 PB

Archive Capabilities

No

Yes

Yes

No

No

Operating System

Scientific Linux 6

CentOS 7

CentOS 7

Ubuntu 22.04

Ubuntu 22.04

ManeFrame III (M3)#

Configuration#

Resource

Standard-Memory

High-Memory

GPU

Nodes

170

8

3

Processors

AMD EPYC 7763

AMD EPYC 7763

Intel Xeon Gold 6154

Frequency

2.45 GHz

2.45 GHz

3.00 GHz

CPUs/Node

2

2

2

Cores/Node

128

128

18

Memory/Node

512 GB

2 TB

756 GB

Local Scratch/Node

None

4.3 TB

None

Interconnect

200 Gb/s

200 Gb/s

100 Gb/s

NVIDIA DGX SuperPOD (MP)#

News#

Configuration#

Component

Summary

Computational Ability

1,644 TFLOPS

Number of Nodes

20

CPU Cores

2,560

GPU Accelerator Cores

1,392,640

Total Memory

52.5 TB

Interconnect Bandwidth

10x200 Gb/s Infiniband Connections Per Node

Work Storage

768 TB (Shared)

Scratch Storage

750 TB (Raw)

Operating System

Ubuntu 22.04

Resource

DGX Node

Nodes

20

Processors

AMD EPYC 7742

CPUs/Node

2

Cores/Node

128

Memory/Node

2 TB

GPUs

NVIDIA A100 Tensor Core GPU

GPUs/Node

8

GPU Memory/GPU

80 GB

GPU Interconnect

NVLink

Local Scratch/Node

27 TB

Network

10x200 Gb/s

Faculty Partner Nodes#

Professor Thomas Hagstrom (Mathematics)#

Professor Hagstrom has one node that is available as part of M3. This node has dual AMD EPYC 7742 64-Core “Zen 2” processors, 512 GB of memory, and an NVIDIA A100 GPU accelerator with 40 GB of HBM2 memory, 6912 Cuda cores, and 432 tensor cores.

This node amd001, is currently available only with permision from Dr. Hagstrom.

Professor Barbara Minsker (Civil and Environmental Engineering)#

Professor Minsker has two nodes that are availabe as part of M3. These nodes each have dual Intel Xeon Gold 6148 2.40 GHz 20-core “Skylake” processors, 384 GB of memory, dual NVIDIA V100 GPU accelerators, and 2 TB of local RAID scratch space. Each GPU has 5,120 CUDA cores, 640 Tensor cores, and 32 GB CoWoS HBM2 memory. The V100 GPU is based on the Volta architecture and an extremely high bandwidth (900 GB/s) stacked memory architecture.

The queue for these nodes, fp-gpgpu-3, is generally available to M3 users with the following restrictions.

  • The maximum job duration for users not in Dr. Minsker’s group is 7 days

  • There is no maximum job duration for users in Dr. Minsker’s group when the --qos qos_clowder Slurm flag is used

  • Jobs submitted without the --qos qos_clowder flag may be queued indefinitely until jobs submitted with the flag finish

Professor Wei Cai (Mathematics)#

Professor Cai has one node that is available as part of M3. This node has dual Intel Xeon Gold 6150 2.70 GHz 18-core “Skylake” processors, 384 GB of memory, dual NVIDIA V100 GPU accelerators, and 2 TB of local RAID scratch space. Each GPU has 5,120 CUDA cores, 640 Tensor cores, and 32 GB CoWoS HBM2 memory. The V100 GPU is based on the Volta architecture and an extremely high bandwidth (900 GB/s) stacked memory architecture.

The queue for these nodes, fp-gpgpu-4, is generally available to M3 users with the following restrictions.

  • The maximum job duration for users not in Dr. Cai’s group is 7 days

  • Members of Dr. Cai’s group may run upto 2 weeks when the --qos qos_cai Slurm flag is used

  • Jobs submitted without the --qos qos_cai flag may be preempted

Assistant Professor Devin Matthews (Chemistry)#

Dr. Matthews has one node that is available as part of M3. This node has dual AMD EPYC 7763 2.45 Ghz 64-Core “Zen 3” processors, 512 GB of memory, and AMD Instinct MI210 GPU with 64 GB of HBM2e memory and 6,656 stream processors. This node is also equipped with AMD/Xilinx Alveo U55C FPGA.

This node ga001, is currently available only with permision from Dr. Matthews.

Acknowledgement#

We request that all work supported by SMU HPC resources make an appropriate acknowledgement. We suggest the following:

“Computational resources for this research were provided by SMU’s O’Donnell Data Science and Research Computing Institute.”