Master-Worker Deployments

This section is intended to show how to execute the COMPSs applications deploying COMPSs as a master-worker structure.

Table of Contents

• Local
  • Executing COMPSs applications
    • Prerequisites
    • Runcompss command
    • Running a COMPSs application
      • Running Java applications
      • Running Python applications
      • Running C/C++ applications
    • Walltime
    • Additional configurations
  • Results and logs
    • Results
    • Logs
• Supercomputers
  • Executing COMPSs applications
    • Loading the COMPSs Environment
      • COMPSs Environment Script
      • COMPSs Environment Module
      • Configuration Notes
    • COMPSs Job submission
    • Walltime
    • PyCOMPSs within interactive jobs
  • MareNostrum 4
    • Basic queue commands
    • Tracking COMPSs jobs
  • MinoTauro
    • Basic queue commands
    • Tracking COMPSs jobs
  • Nord 3
    • Basic queue commands
    • Tracking COMPSs jobs
  • Enabling COMPSs Monitor
    • Configuration
    • Execution
• Docker
  • What is Docker?
  • Requirements
  • Execution in Docker
    • Execution step 1: Creation of the application image
    • Execution step 2: Run the application
  • Execution with TLS
  • Execution results
  • Execution examples
• Chameleon
  • What is Chameleon?
  • Execution in Chameleon
• Jupyter Notebook
  • Notebook execution
  • Notebook example
  • Tips and Tricks
    • Tasks information
    • Tasks status
    • Resources status
    • Current task graph
    • Complete task graph
• G5K
  • What is G5K?
  • Execution in G5K
• Remote Access to Computing Servers and Clusters
  • Requirements
  • Execution
    • Step 1: Deployment
    • Step 2: Configuration
    • Step 3: Run the application
  • Submission Modes
    • Interactive Mode
    • Batch Mode
  • Execution results
  • Execution example
    • Application
    • Jupyter notebook