Hardware

Computing

Node Type Standard Large Memory GPU SPGPU
Number of Nodes 380 5 24 20
Processors 2x 3.0 GHz Intel Xeon Gold 6154 2x 3.0 GHz Intel Xeon Gold 6154 2x 2.4 GHz Intel Xeon Gold 6148 2x 2.9 GHz Intel Xeon Gold 6226R
Cores per Node 36 36 40 32
RAM 187 GB (180 GB requestable) 1.5 TB (1,503 GB requestable) 187 GB (180 GB requestable) 376 GB (372 GB requestable)
Storage 480 GB SSD + 4 TB HDD 4 TB HDD 4 TB HDD 480 GB SSD + 14 TB NVMe SSD
GPU N/A N/A 20 2x NVIDIA Tesla V100, 4 3x  V100 8x NVIDIA A40

 

Networking

The compute nodes are all interconnected with InfiniBand HDR100 networking, capable of 100 Gb/s throughput. In addition to the InfiniBand networking, there is 25 Gb/s ethernet for the login and transfer nodes and a gigabit Ethernet network that connects the remaining nodes. This is used for node management and NFS file system access.

Storage

The high-speed scratch file system provides 2 petabytes of storage at approximately 80 GB/s performance (compared to 7 GB/s on Flux).

Operation

Computing jobs on Great Lakes are managed completely through Slurm.

Software

There are three layers of software on Great Lakes.  For detailed information, see the software page.

Operating Software

The Great Lakes cluster runs Redhat 8. We update the operating system on Great Lakes as Redhat releases new versions and our library of third-party applications offers support. Due to the need to support several types of drivers (AFS and Lustre file system drivers, InfiniBand network drivers and NVIDIA GPU drivers) and dozens of third party applications, we are cautious in upgrading and can lag Redhat releases by months.

Compilers and Parallel and Scientific Libraries

Great Lakes supports the Gnu Compiler Collection, the Intel Compilers, and the PGI Compilers for C and Fortran. The Great Lakes cluster’s parallel library is OpenMPI, with fully supported versions 1.10.7 and 3.1.4 with the latter being the default.  Great Lakes provides the Intel Math Kernel Library (MKL) set of high-performance mathematical libraries. Other common scientific libraries are compiled from source and include HDF5, NetCDF, FFTW3, Boost, and others.

Please contact us if you have questions about the availability of, or support for, any other compilers or libraries.

Application Software

Great Lakes supports a wide range of application software. We license common engineering simulation software (e.g. Ansys, Abaqus, VASP) and we compile others for use on Great Lakes (e.g. OpenFOAM and Abinit). We also have software for statistics, mathematics, debugging and profiling, etc. Please contact us if you wish to inquire about the current availability of a particular application.

GPUs

Great Lakes has 52 NVIDIA Tesla V100 GPUs connected to 20 nodes. 160 NVIDIA A40 GPUs connected to 20 nodes are also available for single-precision work.

GPU Model NVIDIA Tesla V100 NVIDIA A40
Number and Type of GPU one Volta GPU one Ampere GPU
Peak double precision floating point perf. 7 TFLOPS N/A
Peak single precision floating point perf. 14 TFLOPS 37.4 TFLOPS (non-Tensor)

74.8 TFLOPS (Tensor)
Memory bandwidth (ECC off) 900 GB/sec 696 GB/sec
Memory size (GDDR5) 16 GB HBM2 48 GB GDDR5
CUDA cores 5120 10752
RT cores N/A 84
Tensor cores N/A 336

If you have questions, please send email to arc-support@umich.edu.

User Guide
Slurm User Guide
Configuration
Rates
FAQ
Timeline
Known Issues
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Order Service

Billing for the Great Lakes service began on January 6, 2020. Existing, active Flux accounts and logins have been added to the Great Lakes Cluster. Complete this form to get a new Great Lakes cluster login.

If you would like to create a Great Lakes Cluster account or have any questions, contact arc-support@umich.edu with lists of users, admins, and a shortcode. UMRCP accounts are also available to eligible researchers. For more information, please visit our UMRCP page.