Differences

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--- en:hpc [2022/04/14 13:43] – [Software] grikiete
+++ en:hpc [2022/04/15 06:59] – [Registration] grikiete
@@ Line 1: / Line 1: @@
 ====== Description of the Equipment ======
-A Distributed Computing Network (DCN) is a specially designed network of computers capable of running applications that can exchange data efficiently.
+A High Performance Computing (HPC) is a specially designed network of computers capable of running applications that can exchange data efficiently.
-VU MIF PST consists of a supercomputer from the clusters (the first number is the actual and available amount):
+VU MIF HPC consists of a supercomputer from the clusters (the first number is the actual and available amount):
 ^Title ^Nodes ^CPU ^GPU ^RAM        ^HDD    ^Network ^Notes|
@@ Line 16: / Line 16: @@
 ====== Software ======
-**main** and **gpu** are installed [[https://docs.qlustar.com/Qlustar/11.0/HPCstack/hpc-user-manual.html|Qlustar 11]] operating system (OS) with Linux core. It is created Ubuntu 18.04 LTS based. **power** is installed Ubuntu 18.04 LTS.
+In **main** and **gpu** partitions there are installed [[https://docs.qlustar.com/Qlustar/11.0/HPCstack/hpc-user-manual.html|Qlustar 11]] OS. It is based on Ubuntu 18.04 LTS. In **power** partition there is installed Ubuntu 18.04 LTS.
-You can check the list of OS package with the command ''dpkg -l'' (in log in node **hpc** or in **power** nodes).
+You can check the list of OS package with the command ''dpkg -l'' (in login node **hpc** or in **power** nodes).
-With the command [[https://sylabs.io/guides/3.2/user-guide/index.html|singularity]] it is possible to make use of ready-made copies of container files in directories ''/apps/local/hpc'', ''/apps/local/nvidia'', ''/apps/local/intel'', ''/apps/local/lang'' or to download from singularity and docker online directories. You can also create your own singularity containers using the MIF cloud service.
+With the command [[https://sylabs.io/guides/3.2/user-guide/index.html|singularity]] it is possible to make use of ready-made copies of container files in directories ''/apps/local/hpc'', ''/apps/local/nvidia'', ''/apps/local/intel'', ''/apps/local/lang'' or to download from singularity and docker online repositories. You can also create your own singularity containers using the MIF cloud service.
-With singularity you can prepare your container, for example:
+You can prepare your container with singularity, for example:
 <code shell>
 $ singularity build --sandbox /tmp/python docker://python:3.8
@@ Line 31: / Line 31: @@
 Similarly, you can use R, Julia or other containers that do not require root privileges to install packages.
-Jeigu norima papildyti singularity kontainerį OS paketais, tam reikia root/superuser teisių. Su fakeroot jas simuliuojame, o jam reikalingą biblioteką ''libfakeroot-sysv.so'' kopijuojame į konteinerį, pvz:
+If you want to add OS packages to the singularity container, you need root/superuser privileges. With fakeroot, we simulate them, and copy the required library ''libfakeroot-sysv.so'' into the container, for example:
 <code shell>
 $ singularity build --sandbox /tmp/python docker://ubuntu:18.04
@@ Line 38: / Line 38: @@
 $ fakeroot -l /libfakeroot-sysv.so singularity exec -w /tmp/python apt-get install python3.8 ...
 $ fakeroot -l /libfakeroot-sysv.so singularity exec -w /tmp/python apt-get clean
-$ rm -rf /tmp/python/libfakeroot-sysv.so /tmp/python/var/lib/apt/lists (galima ir daugiau išvalyti, ko nereikia)
+$ rm -rf /tmp/python/libfakeroot-sysv.so /tmp/python/var/lib/apt/lists (you can clean up more of what you don't need)
 $ singularity build python.sif /tmp/python
 $ rm -rf /tmp/python
 </code>
-Kataloge ''/apps/local/bigdata'' yra paruošti scenarijai pasileisti savo **hadoop** užduotis pasinaudojant [[https://github.com/LLNL/magpie|Magpie]] rinkiniu.
+There are ready-made scripts to run your **hadoop** tasks using the [[https://github.com/LLNL/magpie|Magpie]] set in the directory ''/apps/local/bigdata''.
-Su [[https://hpc.mif.vu.lt/hub/|JupyterHub]] galite interneto naršyklės pagalba vykdyti skaičiavimus su python komandų eilute ir pasinaudoti [[https://jupyter.org|JupyterLab]] aplinka. Jeigu savo namų kataloge instaliuosite savo JupyterLab aplinką, tai reikia instaliuoti papildomai ''batchspawner'' paketą - tada jums startuos jūsų aplinką, pvz:
+With [[https://hpc.mif.vu.lt/hub/|JupyterHub]] you can run calculations with the python command line in a web browser and use the [[https://jupyter.org|JupyterLab]] environment. If you install your own JupyterLab environment in your home directory, you need to install the additional ''batchspawner'' package - this will start your environment, for example:
 <code shell>
@@ Line 52: / Line 52: @@
 </code>
-Taip pat jūs galite pasinaudoti savo pasidarytu konteineriu per JupyterHub. Tame konteineryje reikia instaliuoti ''batchswapner'' ir ''jupyterlab'' paketus bei sukurti script'ą ''~/.local/bin/batchspawner-singleuser'' su vykdymo teisėmis (''chmod +x ~/.local/bin/batchspawner-singleuser'')
+Alternatively, you can use a container that you made via JupyterHub. In that container, you need to install the ''batchswapner'' and ''jupyterlab'' packages, and to create a script ''~/.local/bin/batchspawner-singleuser'' with execution permissions (''chmod +x ~/.local/bin/batchspawner-singleuser'').
 <code shell>
 #!/bin/sh
 exec singularity exec --nv myjupyterlab.sif batchspawner-singleuser "$@"
 </code>
+====== Registration ======
+The HPC can only be used by registered users of the VU MIF computer network. Existing **VU MIF network users** can use HPC without **additional registration**.
+Fill in the [[https://mif.vu.lt/lt3/en/about/structure/it-research-center#ordering|registration form]] to order IT Research center services. Once the request has been approved, a VU MIF computer network user ID will be assigned. Jei esate VU darbuotojas ar studentas ir registracijos metu nurodėte savo VU el. pašto adresą. Tada įvesti savo pradinį slaptažodį, galite per [[https://mif.vu.lt/passwd2|pamiršto slaptažodžio]] pakeitimo procedūrą, naudodami [[https://id.vu.lt|VU E.tapatybės]] duomenis. Kitu atveju teks atvykti į VU MIF Didlaukio g. 47, 302/304 kab. darbo metu, dėl tikslaus laiko galite pasitikslinti tel. 8 5219 5005 arba 8 5219 5006.
+Su suteiktu (pasirinktu) naudotojo vardu ir savo įvestu slaptažodžiu įgyjama teisė jungtis prie serverio **uosis.mif.vu.lt**, VU MIF mokymo klasių ir dalies VU MIF darbo vietų kompiuterių.
+Adresu [[https://hpc.mif.vu.lt|Waldur]] yra savitarnos portalas, kur su savo universiteto (per **eduGAIN** arba **LITNET**) prisijungimu galima pačiam susikurti **HPC** prisijungimą. Daugiau info apie tai [[waldur|čia]].