Connecting to CCR: Difference between revisions
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ssh -X ''ubit_name''@rush.ccr.buffalo.edu | ssh -X ''ubit_name''@rush.ccr.buffalo.edu | ||
When prompted for password, provide your CCR password, which is set independently of your UBIT password. If you forgot your password, go [https://portal.ccr.buffalo.edu/auth/forgotpw here]. | When prompted for password, provide your CCR password, which is set independently of your UBIT password. If you forgot your password, go [https://portal.ccr.buffalo.edu/auth/forgotpw here]. | ||
== Directories == | |||
Your home directory is <code>/usr/ubit_name</code> and has a very modest disk quota. We also have a project directory in <code>/projects/academic/cpmcnorg</code> with a 500GB quota. This is where we will do most of our modeling and where MikeNet is located. | |||
== Load Modules == | |||
CCR uses modules to manage the libraries and compilers available to each login. You can see available modules (optionally by keyword) using the module command, e.g.,: | |||
module avail mpi | |||
This returns a list of all modules with 'mpi' in the name. To load the intel-mpi 2017.0.1 module: | |||
module load intel-mpi/2017.0.1 | |||
Likewise, to load the corresponding mkl (GPU acceleration) library: | |||
module load mkl/2017.0.1 | |||
It is recommended to use matching module versions. | |||
== Compiling == | |||
Compiler linker options for intel processors can be found [https://software.intel.com/en-us/articles/intel-mkl-link-line-advisor here] | |||
Latest revision as of 15:59, 27 February 2017
CCR is UB's computational cluster, and is accessed via terminal. Incoming connections are permitted only from UB IP addresses, so connecting from off-campus will require a VPN connection.
Connecting by SSH
ssh -X ubit_name@rush.ccr.buffalo.edu
When prompted for password, provide your CCR password, which is set independently of your UBIT password. If you forgot your password, go here.
Directories
Your home directory is /usr/ubit_name and has a very modest disk quota. We also have a project directory in /projects/academic/cpmcnorg with a 500GB quota. This is where we will do most of our modeling and where MikeNet is located.
Load Modules
CCR uses modules to manage the libraries and compilers available to each login. You can see available modules (optionally by keyword) using the module command, e.g.,:
module avail mpi
This returns a list of all modules with 'mpi' in the name. To load the intel-mpi 2017.0.1 module:
module load intel-mpi/2017.0.1
Likewise, to load the corresponding mkl (GPU acceleration) library:
module load mkl/2017.0.1
It is recommended to use matching module versions.
Compiling
Compiler linker options for intel processors can be found here