Hardware
FASTER: A Dell x86 HPC Cluster
System Name: |
FASTER |
Host Name: |
faster.hprc.tamu.edu |
Operating System: |
Rocky Linux 8 |
Total Compute Cores/Nodes: |
11,520 cores |
Compute Nodes: |
180 64-core compute nodes, each with 256GB RAM |
Composable GPUs: |
200 T4 16GB GPUs |
Interconnect: |
Mellanox HDR100 InfiniBand (MPI and storage) |
Peak Performance: |
1.2 PFLOPS |
Global Disk: |
5PB (usable) via DDN Lustre appliances |
File System: |
Lustre |
Batch Facility: |
|
Location: |
West Campus Data Center |
Production Date: |
2021 |
FASTER is a 184-node Intel cluster from Dell with an InfiniBand HDR-100 interconnect. A100 GPUs, A10 GPUs, A30 GPUs, A40 GPUs and T4 GPUs are distributed and composable via Liqid PCIe fabrics. All login and compute nodes are based on the Intel Xeon 8352Y Ice Lake processor.
Compute Nodes
Table 2: Details of Compute Nodes
Compute Nodes | |
---|---|
Processor Type | Intel Xeon 8352Y (Ice Lake) |
Sockets per node | 2 |
Cores per socket | 32 |
Cores per Node | 64 |
Hardware threads per core | 2 |
Hardware threads per node | 128 |
Clock rate | 2.20GHz (3.40 GHz Max Turbo Frequency) |
Memory | 256 GB DDR4-3200 |
Cache | 48 MB L3 |
Local Disk Space | 3.84 TB NVMe (/tmp) |
GPUs can be added to compute nodes on the fly by using the “gres” option in a Slurm script. A researcher can request up to 10 GPUs to create these CPU-GPU nodes. The following GPUs will be composable to the compute nodes.
- 200 T4 16GB GPUs
- 40 A100 40GB GPUs
- 8 A10 24GB GPUs
- 4 A30 24GB GPUs
- 8 A40 48GB GPUs
Login Nodes
Login Nodes |
|
---|---|
Hostnames |
faster1.hprc.tamu.edu (TAMU) |
Processor Type |
Intel Xeon 8352Y (Ice Lake) |
Memory |
256 GB DDR4-3200 |
Total Nodes |
4 |
Cores/Node |
64 |
Interconnect |
InfiniBand HDR100 |
Local Disk Space |
3.84 TB (/tmp) |
Data Transfer Nodes
FASTER has two data transfer nodes that can be used to transfer data to FASTER via the Globus Connect web interface or Globus command line. Globus Connect Server v5.4 is installed on the data transfer nodes. One data transfer node is dedicated to XSEDE users and its collection is listed as “XSEDE TAMU FASTER”.