High Performance cluster sgees018.geo.vuw.ac.nz#

• 80 core Intel(R) Xeon(R) CPU E5-2698 v4 @ 2.20GHz
• 2 GPU NVIDIA Corporation GK210GL [Tesla K80]
• 256 GiB Memory
• Fast network (2x1 Gbit bonding interface)
• Virtually unlimited ITS storage

Operating system#

Ubuntu 20.04 LTS

Access#

From the university network just use full-qualified host name for access the server:

ssh -Y username@sgees018.geo.vuw.ac.nz

Or run X2Go client for starting remote XFCE session on the server.

Multi-Core Usage notes#

Matlab has multiprocessor and multithread ability. To check if it’s true type in Matlab command window: maxNumCompThreads

Further reading about Matlab multicore:

• http://www.mathworks.com/matlabcentral/answers/4370
• http://www.mathworks.com/matlabcentral/fileexchange/13775-multicore-parallel-processing-on-multiple-cores
• http://stackoverflow.com/questions/3296136/matlab-and-using-multiple-cores-to-run-calculations
• http://www.mathworks.com/products/parallel-computing/builtin-parallel-support.html

Performance and processes monitoring#

Start another shell at sgees018 (screen, tmux, another SSH session) and monitor load and performance with htop