rt-muse: obtaining traces from real-time Linux tasksets
Posted: Tue Jun 23, 2015
Description of the tool
rt-muse allows the execution of multithreaded synthetic applications on a target Linux architecture, collecting statistics and data about the threads' and the scheduler's behavior. The user defines a pool of threads to be executed, each thread repeating the same job over and over. Jobs are composed by phases (compute, lock, memory, shared, sleep) and events can be fired in any execution moment (by default, events are fired when a new job is started, but the default behavior can be customized). rt-muse produces traces for the recorded events and provides analysis modules for the obtained traces (4 analysis plugins are currently implemented: migrations, runmap, supply, statistical).
Usage scope
Trace generation for applications that can be modeled with the phases approach and continuously run (like video encoding/decoding, streaming and multimedia processing), trace analysis.
People
- Martina Maggio (Lund University)
- Enrico Bini (Scuola Superiore Sant'Anna)
- Juri Lelli (Scuola Superiore Sant'Anna, ARM)
Links
- Code: github repository
- Configuration and usage: readme
Work in progress
2015.06.30 - Working on a definition of deadline and on specification of periodic tasks
Release history
2015.05.15 - Trace collector and four analysis plugins (migrations, runmap, supply, statistical)
rt-muse allows the execution of multithreaded synthetic applications on a target Linux architecture, collecting statistics and data about the threads' and the scheduler's behavior. The user defines a pool of threads to be executed, each thread repeating the same job over and over. Jobs are composed by phases (compute, lock, memory, shared, sleep) and events can be fired in any execution moment (by default, events are fired when a new job is started, but the default behavior can be customized). rt-muse produces traces for the recorded events and provides analysis modules for the obtained traces (4 analysis plugins are currently implemented: migrations, runmap, supply, statistical).
Usage scope
Trace generation for applications that can be modeled with the phases approach and continuously run (like video encoding/decoding, streaming and multimedia processing), trace analysis.
People
- Martina Maggio (Lund University)
- Enrico Bini (Scuola Superiore Sant'Anna)
- Juri Lelli (Scuola Superiore Sant'Anna, ARM)
Links
- Code: github repository
- Configuration and usage: readme
Work in progress
2015.06.30 - Working on a definition of deadline and on specification of periodic tasks
Release history
2015.05.15 - Trace collector and four analysis plugins (migrations, runmap, supply, statistical)