Using and Administering

Table of Contents

  • Who Should Use This Book

  • How this Book is Organized
  • Typographic Conventions

  • Related Information
  • Information Formats
  • Accessing This Book off the World Wide Web
  • Accessing LoadLeveler Documentation Online

  • What's New in 2.2
  • gsmonitor Daemon
  • Additional Job States
  • New Job Command File Keywords
  • Consumable Resources
  • Task Assignment Section
  • New Adapter Stanza Keyword
  • New Machine Stanza Keyword
  • Process Tracking
  • llctl Command Enhancement
  • Enhanced Support for DCE
  • llstatus Command Enhancements
  • llq Command Enhancements
  • Task Guide
  • Job Control API Renamed
  • Scaling Considerations

  • Migration Considerations
  • Moving From 1.3 to 2.1
  • Moving From 2.1 to 2.2

    • Overview of LoadLeveler

  • Chapter 1. What is LoadLeveler?
  • How LoadLeveler Works

  • Chapter 2. LoadLeveler Daemons and Job States
  • Daemons and Processes
  • LoadLeveler Job States

    • Using LoadLeveler

  • Chapter 3. Submitting and Managing Jobs
  • Building a Job Command File
  • Submitting a Job Command File
  • Managing Jobs
  • A Simple Task Scenario Using Commands
  • Additional Job Command File Examples
  • Job Command File Keywords
  • Run-time Environment Variables
  • Submitting and Managing Jobs that Consume Resources

  • Chapter 4. Submitting and Managing Parallel Jobs
  • Supported Parallel Environments
  • Keyword Considerations for Parallel Jobs
  • Running Interactive POE Jobs
  • Job Command File Examples
  • Obtaining Status of Parallel Jobs

    • Administering LoadLeveler

  • Chapter 5. Administering and Configuring LoadLeveler
  • Overview
  • Planning Considerations
  • Quick Set Up
  • Administering LoadLeveler
  • Configuring LoadLeveler
  • Keyword Summary

  • Chapter 6. Administration Tasks for Parallel Jobs
  • Scheduling Considerations for Parallel Jobs
  • Allowing Users to Submit Interactive POE Jobs
  • Allowing Users to Submit PVM Jobs
  • Setting Up a Class for Parallel Jobs
  • Setting Up a Parallel Master Node

  • Chapter 7. Gathering Job Accounting Data
  • Collecting Job Resource Data on Serial and Parallel Jobs
  • Collecting Job Resource Data Based on Machines
  • Collecting Job Resource Data Based on Events
  • Collecting Job Resource Information Based on User Accounts
  • Collecting the Accounting Information and Storing it into Files
  • Accounting Reports
  • Sample Job Accounting Scenario

  • Chapter 8. Routing Jobs to NQS Machines
  • Setting Up the NQS Environment
  • Designating Machines to Which Jobs Will be Routed
  • Sample Routing Jobs to NQS Machines Scenario
  • NQS Scripts

    • Command Reference

  • Chapter 9. LoadLeveler Commands
  • Summary of LoadLeveler Commands
  • llacctmrg - Collect machine history files
  • llcancel - Cancel a Submitted Job
  • llclass - Query Class Information
  • llctl - Control LoadLeveler Daemons
  • lldcegrpmaint - LoadLeveler DCE group Maintenance Utility
  • llextSDR - Extract adapter information from the SDR
  • llfavorjob - Reorder System Queue by Job
  • llfavoruser - Reorder System Queue by User
  • llhold - Hold or Release a Submitted Job
  • llinit - Initialize Machines in the LoadLeveler Cluster
  • llprio - Change the User Priority of Submitted Job Steps
  • llq - Query Job Status
  • llstatus - Query Machine Status
  • llsubmit - Submit a Job
  • llsummary - Return Job Resource Information for Accounting

    • The LoadLeveler Graphical User Interface

  • Chapter 10. Graphical User Interface Overview
  • Starting the Graphical User Interface
  • Building and Submitting Jobs Using the Graphical User Interface
  • Customizing the Graphical User Interface

    • The LoadLeveler Application Programming Interfaces

  • Chapter 11. LoadLeveler APIs
  • Accounting API
  • Serial Checkpointing API
  • The Submit API
  • Data Access API
  • Parallel Job API
  • Workload Management API
  • Query API
  • User Exits

    • Appendixes

  • Appendix A. Troubleshooting
  • Troubleshooting LoadLeveler

  • Appendix B. Customer Case Studies
  • Customer 1: Technical Computing at the Cornell Theory Center
  • Customer 2: Circuit Simulation
  • Customer 3: High-Energy Physics
  • Customer 4: Computer Chip Design

  • Notices
  • Trademarks and Service Marks

  • Glossary

  • Index

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