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Introduction

T1.streaming is an add-on for T1.timing and enables recording continuous target scheduling trace data on a PC. All trace data capture by the T1-TARGET-SW is sent to the host PC where it is stored, analyzed and visualized “on-the-fly” in real-time. The analysis by the user can be performed with the T1-HOST-SW while streaming or later with a stored streaming trace.

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The duratino of a recorded trace is only limited by the capacity of the hard-disk used for this purpose. T1.streaming enables recording trace data for seconds, minutes, hours or even days. With T1.streaming it is now possible to record all trace data during whole test drives and perform detailed analysis as needed at any time.

Click on image to enlarge
streaming screenshot

A lot of analyses can be performed with the stored trace data:

  • Extract and analyue all timing parameters (min/max/average of CET, GET, RT, IPT, ST, PER and NST) for all tasks and interrupts, processes and threads
  • Visually identify maximum and minimum values at the first glance and zoom in to a single instance of a task, interrupt, process or thread within a second
  • Get an immediate visual impression of the core loads of all cores
  • Add unlimited constraints and visualize violations of the constraints (available mid 2020)
  • Add unlimited event-chains to calculate user specific timing parameters (available mid 2020)


Zooming in shows more details of the tasks, interrupts, processes, and threadsstreaming screenshot Depending on the zoom level the following visualization modes are automatically selected:

  • Graphs with the aggregated min/max/average timing parameters
  • Graphs indicating each timing parameter available (no aggregation)
  • Detailed state-view similar to T1.scope: colors indicate states like “ready” or “running”


Supported interfaces

  • Ethernet (IP/UDP)
  • CAN FD (restrictios are possible depending on configuration and available bandwidth)

Requirements regarding the host PC

  • Intel i7 or compatible CPU
  • GPU
  • SSD drive
  • 16GB RAM
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