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System Details

System Specifications:
  • PRAGYA:
    Master Node : 1
    Processor: 2 * Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz
    Cores: 56
    Memory: 256 GiB DDR4 DRAM
    Storage: 7.64 TB SSD
    Compute Nodes : 3
    Processor: 2 * AMD(R) EPYC 9654 96-Core Processor @ 2.40 GHz
    Cores: 192
    Memory: 768 GiB DDR5 DRAM
    Storage: 1.92 TB SSD
    Operating System: AlmaLinux 8.9 64-bit
    Home Directory Storage: 1.80 TB
    Scratch Directory Storage: 3.50 TB

  • RUDRA:
    Master Node : 1
    Processor: 2 * Intel(R) Xeon(R) Gold 6330 CPU @ 2.00GHz
    Cores: 56
    Memory: 256 GiB DDR4 DRAM
    GPU: 2 * NVIDIA Corporation GA102GL [A40]
    GPU Cores: 21504 CUDA Cores
    GPU Memory: 96 GB GDDR6 VRAM
    Storage: 12.36 TB SSD
    Operating System: Ubuntu 22.04.4 LTS 64-bit
    Home Directory Storage: 7 TB

  • Note:- All the specifications mentioned above are as per node.

Getting an account:
  • To begin with, the intending user needs to apply for the registration. Refer to (http://www.aus.ac.in/ict-data-centre/registration/) for the registration process.
  • After verifying all the details, the account will be created.
  • Then, user will receive an email in the official Email ID provided intimating the creation of the account along with a temporary password set by the system to the account.
  • Login using the account credentials provided and do change the temporary password provided by the system to user’s own password. Once done, user is ready to use.
Changing the password:
First login using the credentials and then the password can be changed using the passwd command: $ passwd.


System Access:
  • Accessing the cluster:
    • The cluster can be accessed through Assam University, Silchar LAN IP address provided, which allows users to login.
    • The master node (Entry node) may be accessed through ssh.
    • The master node has a job scheduler (called SLURM) for managing jobs.
    • For submitting jobs, always use a job script and sbatch command: $ sbatch job_script.sh. Refer to the “job_scipts” directory for available job scripts.
    • Do not submit the jobs directly on the master node, as the system will automatically terminate such jobs. Sometimes, it may take more than a few minutes for the job to be run on the cluster, hence submit the job into the queue.
  • Remote Access:
    • Using ssh command:
      • Open the terminal, connect using the ssh command: $ ssh [username]@[IP_address] (i.e; Assam University, Silchar LAN IP address provided).
      • Then, it will prompt for a password, enter the user’s password and hence the ssh connection will be established.
    • Using PuTTY application:
      • Firstly, download the PuTTY application and install it.
      • Once installed, launch the PuTTY application.
      • The PuTTY Configuration dialog will appear.
      • Locate the “Host Name (or IP Address)” input field.
      • Enter the username along with IP address: [username]@[IP_address] (i.e; Assam University, Silchar LAN IP address provided).
      • Enter the password when prompted and hence the connection will be established.
Files Transfer:
  • Using scp:
    • To transfer files from Server to Local Machine, open the terminal and use the scp command:
      scp -r [username]@[IP_address]:/[path_of_files_in_Server] /[path_in_Local_Machine]
    • To transfer files from Local Machine to Server, open the terminal and use the scp command:
      scp -r /[path_of_files_in_Local_Machine] [username]@[IP_address]:/[path_in_Server]
  • Using WinSCP:
    • Firstly, download the WinSCP application and install it.
    • Once installed, launch the WinSCP application.
    • The Login dialog will appear (Click ‘New Tab’, if the Login dialog does not appear).
    • Click ‘New Site’ (if not selected).
    • Locate the ‘Host name:’, ‘User name:’ & ‘Password:’ input field and enter the IP address, username & password respectively.
    • Click ‘Login’ button and hence the connection will be established.
    • Navigate to the locations of both the Local Machine and the Server on either sides.
    • Finally transfer files using the ‘Drag-and-Drop’ feature.