Scientific Computing Essentials - Course Introduction
This is the first ever hands-on scientific programming course (https://school.scientificprogramming....) that uses the High Performance Computing (HPC) systems software stack: Slurm, PBS Pro, OpenMP, MPI and CUDA. The goal main of this course is to introduce you with the HPC systems and its software stack. This course has been specially designed to enable you to utilize parallel & distributed programming and computing resources to accelerate the solution of a complex problem with the help of HPC systems and Supercomputers. You can then use your knowledge in Machine learning, Deep learning, Data Sciences, Big data and so on.
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.
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