Gain insights into using HPC systems and supercomputers to solve large computational problems. Explore HPC components, software stacks, job schedulers, and parallel programming, including Open MP, MPI, and GPU coding.

Learn to use High Performance Computing (HPC) Systems  and solve large computational problems.  This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. This course is of the first of its kind, should be your second step from my previous Educative course "Learn to Analyze Text Data in Bash Shell and Linux"

You'll learn:
- Intro to HPC Systems and Supercomputers
- HPC system's basic components
- HPC software stack
- HPC job schedulers and batch systems (PBS and Slurm with demos)
- Introduction to parallel programming (Open MP, MPI and GPU coding)

Video demos are included, I think it is a must have course for students, researchers, big data analysts, and developers. It will help you to utilize High Performance Computing systems at your institution. Non-interactive course. More details at:  www.scientificprogramming.io/learn-hpc

Ajay Shenoy

This course demystifies HPC and introduces you to the essential tools required to schedule and run parallel programs. Easy to understand.

India

Learn to Use HPC Systems and Supercomputers

The **Slurm Workload Manager** (formerly known as *Simple Linux Utility for Resource Management or SLURM*), is a free and open-source job scheduler for Linux and Unix-like kernels, used by many of the world's supercomputers and computer clusters. It provides three key functions.
+ First, it **allocates exclusive and/or non-exclusive access** to resources (computer nodes) to users for some duration of time so they can perform work. 
+ Second, it provides a **framework for starting, executing, and monitoring** work (typically a parallel job such as `MPI`) on a set of allocated nodes. 
+ Finally, it arbitrates **contention for resources** by managing a queue of pending jobs.  

Slurm is the workload manager on about 60% of the TOP500 supercomputers, including Tianhe-2 that, until 2016, was the world's fastest computer.

### **History**

Slurm began development as a collaborative effort primarily by Lawrence Livermore National Laboratory, **SchedMD**, Linux NetworX, Hewlett-Packard, and Groupe Bull as a Free Software resource manager in the 2010s. It was inspired by the closed source Quadrics RMS and shares a similar syntax. The name is a reference to the soda in Futurama! 

### Components of Slurm workload manager




The **Slurm Workload Manager** (formerly known as *Simple Linux Utility for Resource Management or SLURM*), is a free and open-source job scheduler for Linux and Unix-like kernels, used by many of the world's supercomputers and computer clusters. It provides three key functions.
+ First, it **allocates exclusive and/or non-exclusive access** to resources (computer nodes) to users for some duration of time so they can perform work. 
+ Second, it provides a **framework for starting, executing, and monitoring** work (typically a parallel job such as `MPI`) on a set of allocated nodes. 
+ Finally, it arbitrates **contention for resources** by managing a queue of pending jobs.  

Slurm is the workload manager on about 60% of the TOP500 supercomputers, including Tianhe-2 that, until 2016, was the world's fastest computer.

# **History**

Slurm began development as a collaborative effort primarily by Lawrence Livermore National Laboratory, **SchedMD**, Linux NetworX, Hewlett-Packard, and Groupe Bull as a Free Software resource manager in the 2010s. It was inspired by the closed source Quadrics RMS and shares a similar syntax. The name is a reference to the soda in Futurama! 

# Components of Slurm workload manager




Supercomputers and HPC clusters

Components of a HPC system

HPC software stack

PBS - Portable Batch System

SLURM -Workload Manager

Parallel programming - OpenMP

Parallel programming - MPI

Parallel programming - GPU and CUDA

Conclusions and references

Introduction to Slurm