HPC2N

HPC2N - High Performance Computing Center North, at Umeå University in Umeå, Sweden.

Lecture 8: Scripting (Linux, Bash)
Lecture 8: Scripting (Linux, Bash)
Lecture 7.5: Finding patterns (Linux) - the exercises
Lecture 7.5: Finding patterns (Linux) - the exercises
Lecture 7: Finding patterns (Linux)
Lecture 7: Finding patterns (Linux)
Lecture 6: Piping and filters (Linux)
Lecture 6: Piping and filters (Linux)
Lecture 5: Editors (Linux)
Lecture 5: Editors (Linux)
Lecture 4: Modifying the Linux File tree
Lecture 4: Modifying the Linux File tree
Lecture 3: Navigating the Linux file tree
Lecture 3: Navigating the Linux file tree
Lecture 2: the Command Line Interface (CLI)
Lecture 2: the Command Line Interface (CLI)
Lecture 1: Motivation. Why you should use Linux.
Lecture 1: Motivation. Why you should use Linux.
Lecture 0: Introduction to the course
Lecture 0: Introduction to the course "Linux Command Line 101"
Lecture 6: Machine Learning with R, Matlab, and Julia
Lecture 6: Machine Learning with R, Matlab, and Julia
Lecture 5: Introduction to GPUs
Lecture 5: Introduction to GPUs
Lecture 4: Big data
Lecture 4: Big data
Lecture 3: Distributed Parallelism
Lecture 3: Distributed Parallelism
Lecture 2: Thread Parallelism
Lecture 2: Thread Parallelism
Lecture 1: Parallel computing
Lecture 1: Parallel computing
Lecture 4: Interactive jobs with Julia
Lecture 4: Interactive jobs with Julia
Lecture 3: Running Julia as a batch job (Slurm)
Lecture 3: Running Julia as a batch job (Slurm)
Lecture 2b: Julia: Environments and packages
Lecture 2b: Julia: Environments and packages
Lecture 2a: Julia: Environments and packages
Lecture 2a: Julia: Environments and packages
Lecture 0: Introduction to Julia
Lecture 0: Introduction to Julia
Lecture 8: Summary
Lecture 8: Summary
Lecture 7: batch jobs from inside the MATLAB GUI
Lecture 7: batch jobs from inside the MATLAB GUI
Lecture 6: MATLAB through the OpenOnDemand
Lecture 6: MATLAB through the OpenOnDemand
Lecture 4: Interactive work with MATLAB on the compute nodes.
Lecture 4: Interactive work with MATLAB on the compute nodes.
Lecture 3: Slurm and MATLAB from the command line
Lecture 3: Slurm and MATLAB from the command line
Lecture 2: Load and run MATLAB at Swedish HPC centres
Lecture 2: Load and run MATLAB at Swedish HPC centres
Lecture 1: Introduction and schedule for the Matlab day
Lecture 1: Introduction and schedule for the Matlab day
Lecture 3: R through the batch system (Slurm)
Lecture 3: R through the batch system (Slurm)
Lecture 4: Open OnDemand (interactive)
Lecture 4: Open OnDemand (interactive)