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

# What is the PBS?

Portable Batch System (PBS) is the name of computer software that performs job scheduling. Its primary task is to allocate computational tasks, i.e., batch jobs, among the available computing resources. The following versions of PBS are currently available:

- OpenPBS
- TORQUE
- **PBS Professional (PBS Pro)** 

# A brief history of the PBS

Before the emergence of clusters, the Unix-based **Network Queuing System** (`NQS`) from **NASA Ames Research Center** was a commonly used batch-queuing system. Then with the emergence of
**parallel distributed system**, `NQS` began to show its limitations. Consequently, **Ames** then led an
effort to develop requirements and specifications for a newer, cluster-compatible system. With NASA's funding this efforts resulted into **PBS** in the early 1990s. In 2003, PBS was acquired by **Altair Engineering** and is now marketed as **PBS Pro** by Altair Grid Technologies, a subsidiary of Altair Engineering. 

However, PBS Pro is now an open source project and has become a part of the [**OpenHPC software stack**](http://www.openhpc.community/). It is readily available for download from [**pbspro.org**](http://www.pbspro.org/) along with its full source code. 


# PBS Pro's key features
- **Scalability:** supports millions of cores with fast job dispatch and minimal latency; tested beyond 50,000 nodes

- **Policy-Driven Scheduling:** meets unique site goals and SLAs by balancing job turnaround time and utilization with optimal job placement

- **Resiliency:** includes automatic fail-over architecture with no single point of failure – jobs are never lost, and jobs continue to run despite failures

- **Flexible Plugin Framework:** simplifies administration with enhanced visibility and extensibility; customize implementations to meet complex requirements

- **Health Checks:** monitors and automatically mitigates faults with a comprehensive health check framework

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 PBS

What is the PBS?