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This book has been specially designed to enable you to utilize parallel and 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.

Interactive version available @ Scientific Programming School

Learn about Supercomputing:

A Little bit of Supercomputing history,
Supercomputing examples,
Supercomputers vs. HPC clusters,
HPC clusters computers,
Benefits of using cluster computing.

Components of a HPC system:

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.

PBS - Portable Batch System:

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 examples.

SLURM -Workload Manager:

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

Parallel programming - OpenMP and MPI:

OpenMP basics,
Open MP - clauses,
OpenMP worksharing constructs,
OpenMP- Hello world!,
Reduction and parallel `for-loop`,
Section parallelization, Vector addition,
MPI - hello world! send/ receive and `ping-pong`

Parallel programming - GPU and CUDA:

A concise beginner friendly guide to the GPUs - graphics processing units, GPU Programming - CUDA,
CUDA - hello world and so on!

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Email the Author