en:hpc
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====== Software ====== | ====== Software ====== | ||
- | In **main** and **gpu** partitions there are installed [[https:// | + | In **main** and **gpu** partitions there are installed [[https:// |
You can check the list of OS package with the command '' | You can check the list of OS package with the command '' | ||
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====== Registration ====== | ====== Registration ====== | ||
- | * **For VU MIF network users** - HPC can be used without additional registration if the available resources are enough (monthly limit - **100 CPU-h and 6 GPU-h**). Once this limit has been reached, you can request more by filling in [[https:// | + | * **For VU MIF network users** - HPC can be used without additional registration if the available resources are enough (monthly limit - **500 CPU-h and 60 GPU-h**). Once this limit has been reached, you can request more by filling in [[https:// |
* **For users of the VU computer network** - you must fill in the [[https:// | * **For users of the VU computer network** - you must fill in the [[https:// | ||
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* **For other users (non-members of the VU community)** - you must fill in the [[https:// | * **For other users (non-members of the VU community)** - you must fill in the [[https:// | ||
- | ====== | + | ====== |
- | Norint prisijungti prie **PST** reikia naudoti | + | You need to use SSH applications |
- | Jeigu naudojate | + | If **Kerberos** is used: |
- | * Prisijungiate į Linux aplinką | + | * Log in to the Linux environment in a VU MIF classroom or public terminal with your VU MIF username and password or login to **uosis.mif.vu.lt** |
- | * **arba** su ssh ar putty programa prisijungiate į **uosis.mif.vu.lt** | + | * Check if you have a valid Kerberos key (ticket) with the **klist** |
- | * Su komanda | + | * Connect to the **hpc** |
- | * Jungiatės į mazgą | + | |
- | * **Pirmą kartą** prisijungus turi praeiti **5min**, kad galėtumėte naudotis PST. | + | |
- | Jeigu naudojate | + | If **SSH keys** are used (e.g. if you need to copy big files): |
- | * Jei neturite | + | * If you don't have SSH keys, you can find instructions on how to create them in a Windows |
- | * Prieš naudodami šį būdą, reikia bent kartą prisijungti su Kerberos | + | * Before you can use this method, you need to log in with Kerberos |
- | * Prisijungiate su **ssh**, **sftp**, **scp**, **putty**, **winscp** | + | * Connect with **ssh**, **sftp**, **scp**, **putty**, **winscp** |
- | Pirmą kartą prisijungus jūs **negalėsite** paleisti | + | The **first time** you connect, you **will not** be able to run **SLURM |
+ | |||
+ | ====== Lustre - Shared File System ====== | ||
+ | |||
+ | VU MIF HPC shared file system is available in the directory ''/ | ||
+ | |||
+ | The system creates directory ''/ | ||
+ | |||
+ | The files in this file system are equally accessible on all compute nodes and on the **hpc** node. | ||
+ | |||
+ | Please use these directories only for their purpose and clean them up after calculations. | ||
+ | |||
+ | ====== HPC Partition ====== | ||
+ | |||
+ | ^Partition ^Time limit ^RAM | ||
+ | ^main | ||
+ | ^gpu ^48h | ||
+ | ^power | ||
+ | |||
+ | The time limit for tasks is **2h** in all partitions if it has not been specified. The table shows the maximum time limit. | ||
+ | |||
+ | The **RAM** column gives the amount of RAM allocated | ||
+ | |||
+ | ====== Batch Processing of Tasks (SLURM) ====== | ||
+ | |||
+ | To use computing resources of the HPC, you need to create task scenarios (sh or csh). | ||
+ | |||
+ | Example: | ||
+ | |||
+ | <code shell mpi-test-job.sh> | ||
+ | # | ||
+ | #SBATCH -p main | ||
+ | #SBATCH -n4 | ||
+ | module load openmpi | ||
+ | mpicc -o mpi-test mpi-test.c | ||
+ | mpirun mpi-test | ||
+ | </ | ||
+ | |||
+ | After submission and confirmation of your application to the ITOAC services, you need to create a user at https:// | ||
+ | |||
+ | <code shell mpi-test-job.sh> | ||
+ | # | ||
+ | #SBATCH --account=alloc_xxxx_projektas | ||
+ | #SBATCH -p main | ||
+ | #SBATCH -n4 | ||
+ | #SBATCH --time=minutes | ||
+ | module load openmpi | ||
+ | mpicc -o mpi-test mpi-test.c | ||
+ | mpirun mpi-test | ||
+ | </ | ||
+ | |||
+ | |||
+ | It contains instructions for the task performer as special comments. | ||
+ | |||
+ | -p short - which queue to send to (main, gpu, power). | ||
+ | |||
+ | -n4 - how many processors to reserve (**NOTE:** if you set the number of cores to be used to x, but actually use fewer cores programmatically, | ||
+ | |||
+ | The initial running directory of the task is the current directory (**pwd**) on the login node from where the task is run, unless it was changed to another directory by the -D parameter. For the initial running directory, use the HPC shared filesystem directories **/ | ||
+ | |||
+ | The generated script is sent with the command // | ||
+ | |||
+ | '' | ||
+ | |||
+ | which returns the number of the submitted job **JOBID**. | ||
+ | |||
+ | The status of a pending or ongoing task can be checked with the command // | ||
+ | |||
+ | '' | ||
+ | |||
+ | With the //scancel// command it is possible to cancel the running of a task or to remove it from the queue | ||
+ | |||
+ | '' | ||
+ | |||
+ | If you forgot your tasks **JOBID**, you can check them with the command // | ||
+ | |||
+ | '' | ||
+ | |||
+ | Completed tasks are no longer displayed in **squeue**. | ||
+ | |||
+ | If the specified number of processors is not available, your task is added to the queue. It will remain in the queue until a sufficient number of processors become available or until you remove it with **scancel**. | ||
+ | |||
+ | The **output** of the running job is recorded in the file **slurm-JOBID.out**. The error output is written to the same file unless you specified somewhere else. The file names can be changed with the **sbatch** command parameters -o (specify the output file) and -e (specify the error file). | ||
+ | |||
+ | More about SLURM opportunities you can read [[https:// | ||
+ | |||
+ | ====== Interactive Tasks (SLURM) ====== | ||
+ | |||
+ | Interactive tasks can be done with the //srun// command: | ||
+ | |||
+ | < | ||
+ | $ srun --pty $SHELL | ||
+ | </ | ||
+ | |||
+ | The above command will connect you to the compute node environment assigned to SLURM and allow you to directly run and debug programs on it. | ||
+ | |||
+ | After the commands are done disconnect from the compute node with the command | ||
+ | |||
+ | < | ||
+ | $ exit | ||
+ | </ | ||
+ | |||
+ | If you want to run graphical programs, you need to connect to **ssh -X** to **uosis.mif.vu.lt** and **hpc**: | ||
+ | |||
+ | < | ||
+ | $ ssh -X uosis.mif.vu.lt | ||
+ | $ ssh -X hpc | ||
+ | $ srun --pty $SHELL | ||
+ | </ | ||
+ | |||
+ | In **power** cluster interactive tasks can be performed with | ||
+ | |||
+ | < | ||
+ | $ srun -p power --mpi=none --pty $SHELL | ||
+ | </ | ||
+ | |||
+ | ====== GPU Tasks (SLURM) ====== | ||
+ | |||
+ | To use GPU you need to specify additionally < | ||
+ | |||
+ | With '' | ||
+ | |||
+ | Example of an interactive task with 1 GPU: | ||
+ | < | ||
+ | $ srun -p gpu --gres gpu --pty $SHELL | ||
+ | </ | ||
+ | |||
+ | ====== Introduction to OpenMPI ====== | ||
+ | |||
+ | Ubuntu 18.04 LTS is the packet of **2.1.1** OpenMPI version. | ||
+ | To use the newer version **4.0.1** you need to use | ||
+ | < | ||
+ | module load openmpi/ | ||
+ | </ | ||
+ | before running MPI commands. | ||
+ | |||
+ | ===== MPI Compiling Programs ===== | ||
+ | |||
+ | An example of a simple MPI program is in the directory ''/ | ||
+ | |||
+ | < | ||
+ | $ mpicc -o foo foo.c | ||
+ | $ mpif77 -o foo foo.f | ||
+ | $ mpif90 -o foo foo.f | ||
+ | </ | ||
+ | ===== Implementation of MPI Programmes ===== | ||
+ | |||
+ | MPI programs are started with **mpirun** or **mpiexec**. You can learn more about them with the **man mpirun** or **man mpiexec** command. | ||
+ | |||
+ | A simple (SPMD) program can be started with the following mpirun command line. | ||
+ | |||
+ | < | ||
+ | $ mpirun foo | ||
+ | </ | ||
+ | |||
+ | All allocated processors will be used according to the number ordered. If you want to use less, you can specify the -np quantity parameter in **mpirun**. It is not recommended to use less CPU than reserved for a longer time period, as unused CPUs remain free. | ||
+ | |||
+ | **ATTENTION** It is strictly forbidden to use more CPU than you have reserved, as this may affect the performance of other tasks. | ||
+ | |||
+ | Find more information on [[https:// | ||
+ | |||
+ | ====== Task Efficiency ====== | ||
+ | |||
+ | * Please use at least 50% of the ordered CPU quantity. | ||
+ | * Using more CPUs than ordered will not improve performance, | ||
+ | * If you use the '' | ||
+ | |||
+ | ====== The Limits of Resources ====== | ||
+ | |||
+ | If your tasks don't start because of **AssocGrpCPUMinutesLimit** or **AssocGrpGRESMinutes**, | ||
+ | |||
+ | //The first way to see how much resources are used:// | ||
+ | |||
+ | < | ||
+ | sreport -T cpu, | ||
+ | </ | ||
+ | |||
+ | Where the **USERNAME** - is your MIF user name. **Start** and **End** show the start and end days of the current month. You can specify them also by '' | ||
+ | |||
+ | **NOTE** Usage of resources is given in minutes, divide the number by 60 to get hours. | ||
+ | |||
+ | //The second way to see how much resources are used:// | ||
+ | |||
+ | < | ||
+ | sshare -l -A USERNAME_mif -p -o GrpTRESRaw, | ||
+ | </ | ||
+ | |||
+ | Where **USERNAME** is your MIF user name. Or specify the account whose usage you want to see in **-A**. The data is also displayed in minutes: | ||
+ | * **GrpTRESRaw** - how much is used. | ||
+ | * **GrpTRESMins** - what is the limit. | ||
+ | * **GGRTRESRunMins** - the remaining resources for tasks that are still running. | ||
+ | |||
+ | ====== The Links ====== | ||
+ | |||
+ | * [[waldur|HPC Waldur portal description]] | ||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | * [[https:// | ||
+ | * [[http:// | ||
+ | * [[pagalba@mif.vu.lt]] - registration of the **HPC** problems. | ||
en/hpc.txt · Last modified: 2024/02/21 12:50 by rolnas