---
title: 'Different Workloads on HPC'
url: 'https://www.cyfronet.pl/en/training/different-workloads-on-hpc-28-08-2026'
markdown: 'https://www.cyfronet.pl/en/training/different-workloads-on-hpc-28-08-2026.md'
lang: en
date: '2026-08-28'
description: 'Description The training focuses on different ways to allocate resources on supercomputers and parallelisation schemes used to speed up calculations. Modern supercomputers are massive parallel machines with up to hundreds of cores on a single node and even thousands of nodes connected via fast netw…'
taxonomy:
  type:
    - event
  tag:
    - HPC
    - accessing
    - resources
---

[ Homepage ](https://www.cyfronet.pl/en)     [ Training ](https://www.cyfronet.pl/en/training)      Different Workloads on HPC    

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# Different Workloads on HPC

## Table of content

- [Description](#description)
- [Date](#date)
- [Agenda](#agenda)
- [More information](#more-information)

## Description

The training focuses on different ways to allocate resources on supercomputers and parallelisation schemes used to speed up calculations. Modern supercomputers are massive parallel machines with up to hundreds of cores on a single node and even thousands of nodes connected via fast network interface. To utilise those machines fully, one needs to know about parallelisation techniques and queuing system options of resource allocation. This training will show different ways that Slurm allocates resources and how to apply them to different computations and workloads.
We recommend doing this training after familiarizing with the contents of [Running Calculations the HPC way](https://www.cyfronet.pl/training/running-calculations-the-hpc-way-24-28-2026) training provided at ACC Cyfronet AGH.

## Date

28 August 2026, 10:00 - 13:00 (**online**)

## Agenda

1. Introduction: serial vs parallel.
2. Embarrassingly parallel (so parallel it's embarrassing!).
3. Intranode standards and you: 
    - MPI,
    - OpenMP,
    - hybrid (MPI+OpenMP),
    - srun.
4. Going multinode.
5. Accelerating with a GPU card.
6. Even more different workloads: 
    - When HPC goes HTC (array jobs),
    - Chaining calculations with job dependencies.

## More information

 <https://events.plgrid.pl/event/140/>

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---

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