Scientific Computing Essentials - Course Introduction

You will learn
- Scientific programming in HPC clusters computers and is benefits, Supercomputing history and examples.
- Components of a High Performance Systems (HPC) cluster, Properties of Login node(s), Compute node(s), Master node(s), Storage node(s), HPC networks and so on.
- Introduction to PBS, PBS basic commands, PBS `qsub`, PBS `qstat`, PBS `qdel` command, PBS `qalter`, PBS job states, PBS variables, PBS interactive jobs, PBS arrays, PBS Matlatb example
- Introduction to Slurm, Slurm commands, A simple Slurm job, Slurm distrbuted MPI and GPU jobs, Slurm multi-threaded OpenMP jobs, Slurm interactive jobs, Slurm array jobs, Slurm job dependencies
- OpenMP basics, Open MP - clauses, worksharing constructs, OpenMP- Hello world!, reduction and parallel `for-loop`, section parallelization, vector addition, MPI - hello world! send/ receive and `ping-pong`
- Friendly guide to the GPUs - graphics processing units, GPU Programming - CUDA, CUDA - hello world and so on!

Scientific programming using a cluster of computers joins computational powers of the compute nodes to provide a more combined computational power. Therefore, as in the client-server model, rather than a simple client making requests of one or more servers, cluster computing utilize multiple machines to provide a more powerful computing environment perhaps through a single operating system. Don't forget to join our Q&A community where you can get free help anytime from other students and the instructor. This awesome course is a component of the Learn Scientific Computing project.