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Task Manager | Summary and Preferences
The Task Manager (accessed from the HYPERSIM Ribbon) enables visualization of network tasks to be simulated in several cores, and processing of manual task programming on processors.
Below. the Task Manager window with input fields.
Preferences
Preferences contain editable parameters which have an impact on task mapping.
Preference | Description | Python API preference name |
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Time Step | Simulation time step defined by the user |
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Performance factor | The performance factor is used to calculate the execution time step based on the user-defined time step. Execution time step = performance factor * simulation time step. |
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Processor load level | Set the maximum processor load considered during task mapping (value between 0 and 1). | simulation.procLoadLevel |
Processor reservation mode | Optimization for multi-user usage. Dynamic CPU reservation can enhance performance 1 → Dynamic 2 → Dynamic and Static 3 → Static |
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Additionally, to improve performance, simply uncheck the 'Legacy Task Mapper' option and enable the new automatic task mapper, which is built on the Scotch library.
Preference | Description | Python API preference name |
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Use legacy task mapper | Not recommended: If selected, the task manager will use the legacy task mapper. Note: The legacy task mapper is automatically activated if the |
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Mapping strategy | Select task mapping strategy: load balancing (Balance) or minimizing communications (Quality). |
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Processor imbalance ratio | Load balancing target for the task mapper. The value ranges from 0 to 1, with 1 representing perfect balance. | mapping.procImbalanceRatio |
Requested # of processors | The number of processors specified by the user for the task mapper. If set to the default value of 0, an optimized number will be automatically determined. If the number of processors requested by the user exceeds the available hardware, then all physical cores will be reserved by the task mapper. |
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