This is a GPU server of the Department of Computer Engineering, University of Peradeniya.
You can use this server using the LDAP login for ce.pdn.ac.lk undergraduates (which is used for CO top floor lab, aiken and tesla) without sudo access.
How can I connect to this server?
You can use ssh login. Since kepler.ce.pdn.ac.lk is not a public IP you shoud either
What are the GPUs in this server?
Tesla K40c and Quadro K620.
What is the operating system of this server?
What software is installed in this server?
What datasets are hosted in kepler?
We store frequently used datasets inside the kepler.ce.pdn.ac.lk local storage for easy access. You can access these by the following command:
These datasets are in the read only mode. You can use these datsets as the input for your tasks but you have to output the results to your home directory. The following datasets are stored at the moment.
If you have suggestions for what datasets should be made available on this server, please send a request via email available in https://www.cs.umd.edu/~gihan/contact/ address.
What other ML tools are hosted in Kepler?
You can access these by the following commands:
How to compile CUDA C/C++ code?
You can try with following command:
nvcc code.cu -arch=sm_35
The -arch=sm_35 flag is required to compile code properly on this server.
Can I install some software here?
Please request through any CO staff member. Please note that the server admin has no authority to install something unless it is requested by a staff memeber.
I am not an undergraduate of the Department of Computer Engineering, University of Peradeniya. Can I use this server?
How to run a Singularity container on Kepler?
sudo singularity config fakeroot --add eXXYYY
eyyxxx@kepler:~$ wget https://raw.githubusercontent.com/cepdnaclk/singularity-deployment/main/base.def
eyyxxx@kepler:~$ singularity build --fakeroot base.sif base.def
eyyxxx@kepler:~$ singularity exec base.sif <your-command>
If you need to learn more, go to: https://github.com/cepdnaclk/singularity-deployment