Skip to content

SLING user documentation

Exercise 6: Video Processing with Containers

SLING user documentation

Instructions
Instructions
- SLING clusters
- Access
  Access
- VO membership
- SLURM usage
- ARC usage
- Data management
- Proxy server
- Software
- VSCode and SSH
- Workshops
User interfaces
User interfaces
Applications
Applications
- NAMD
- Veloxchem
Workshops
Workshops
- Supercomputing Essentials
  Supercomputing Essentials
  - About the Workshop
  - Introduction
    Introduction
    
    Supercomputer
    
    Cluster Hardware
    
    Cluster Software
  - Using a Computing Cluster
    Using a Computing Cluster
    
    Connecting to a Computing Cluster
    
    Connecting with SSH Key
    
    Jobs and Tasks
    
    Cluster Information
    
    Running Jobs on the Cluster
    
    Modules and Containers
  - Processing of Video Sequences
    Processing of Video Sequences
    
    Simple Video Processing
    
    Parallel Processing
    
    Employment of Graphics Processing Units
- Advanced Supercomputing
  Advanced Supercomputing
  - About the Workshop
  - Ukazna lupina in Slurm
    Ukazna lupina in Slurm
    
    Introduction
    
    Analiza besedil
    
    Uporaba lupine
    
    Vzporejanje nalog
- Containers for HPC
  Containers for HPC
  - About the Workshop
  - Vsebniki
    Vsebniki
    
    Introduction
    
    Navidezni stroji in vsebniki
  - Vsebniki Apptainer
    Vsebniki Apptainer
    
    Splošno
    
    Uporabimo obstoječi vsebnik
    
    Zgradimo svoj vsebnik
    
    Recepti za vsebnike
  - Praktični primeri vsebnikov
    Praktični primeri vsebnikov
    
    Python in knjižnice
    
    Računajmo na CPE
    
    Uporabimo GPE
    
    Računajmo na več vozliščih
    
    Grafični uporabniški vmesniki
- Parallel Programming with OpenMP
  Parallel Programming with OpenMP
- Programming Graphics Processing Units (OpenCL)
  Programming Graphics Processing Units (OpenCL)
  - About the Workshop
  - Introduction
    Introduction
    
    Heterogeneous Systems
    
    GPU Anatomy
  - Graphics Processing Units
    Graphics Processing Units
    
    Nvidia Tesla K40
    
    Execution Model
    
    Memory Hierarchy
  - Intro to OpenCL
    Intro to OpenCL
    
    OpenCL
    
    Initialization of OpenCL on the Host
  - Programming GPUs
    Programming GPUs
    
    Vector Addition
    
    Dot Product
    
    Matrix Multiplication
    
    Image Processing
- Programming Graphics Processing Units (CUDA)
  Programming Graphics Processing Units (CUDA)
  - About the Workshop
  - Introduction
    Introduction
    
    Heterogeneous Systems
    
    GPU Anatomy
  - Graphics Processing Units
    Graphics Processing Units
    
    Execution Model
    
    Memory Hierarchy
  - CUDA
  - Programming GPUs
    Programming GPUs
    
    Query a device
    
    Vector Addition
    
    Dot Product
    
    Image Processing
- High-Level Synthesis for FPGA
  High-Level Synthesis for FPGA
  - About the Workshop
  - Introduction
    Introduction
    
    Heterogeneous Computing
    
    FPGA Basics
  - High-Level Synthesis
    High-Level Synthesis
    
    Design Flow
    
    Programming Paradigms
    
    Main Phases
  - Xilinx Runtime and OpenCL
    Xilinx Runtime and OpenCL
    
    Xilinx Runtime (XRT)
    
    OpenCL
  - Programming FPGAs
    Programming FPGAs
    
    Vector addition
    
    Matrix-vector multiplication
    
    Optimising kernel code
    
    Host code optimisation
    
    Cholesky decomposition

Exercise 6: Video Processing with Containers

In this exercise, we can help ourselves with examples shown in chapter on the GPU employment.

a) Prepare Container for Graphics Processing Unit

We prepare container for Graphic processing unit by instructions.

b) Processing

To run the ffmpeg program utilizing the graphics processing unit (GPU) and increase the resolution of the video file bbb.mp4 to 1920 × 1080 pixels, you can use the sbatch command along with job scripts. Detailed instructions can found here.