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Magline joins Rapita Trailblazer Partnership Program to support DO-178 Certification
Eve Air Mobility joins Rapita Systems Trailblazer Partnership Program for eVTOL projects
Rapita Systems launches MACH178 Foundations for multicore DO-178C compliance
Collins Aerospace and Rapita present award winning paper at DASC 2024
How to certify multicore processors - what is everyone asking?
Data Coupling Basics in DO-178C
Control Coupling Basics in DO-178C
Components in Data Coupling and Control Coupling
DO-278A Guidance: Introduction to RTCA DO-278 approval
ISO 26262
Data Coupling & Control Coupling
Verifying additional code for DO-178C
DO-178C Multicore In-person Training (Fort Worth, TX)
DO-178C Multicore In-person Training (Bristol)
DO-178C Multicore In-person Training (Toulouse)
The ultimate data logging solution
Automatically collect and timestamp execution data from embedded systems
The RTBx automatically collects and timestamps execution data from embedded systems while they run. These results can be analyzed by RVS to verify the behavior of your application.
With flexible options for interfacing with your target hardware, the RTBx lets you collect data produced at a high rate that you can trust and use to verify your application.
Produce traces for RVS analysis
The RTBx lets you collect traces that can be used by RVS to verify your system’s behavior. This supports your functional testing (RapiTest), structural coverage analysis (RapiCover), execution time analysis (RapiTime), and lets you visualize the scheduling behavior of your system (RapiTask).
With streamlined integrations, it’s easy to get set up collecting data from your target with the RTBx and analyzing your data through an automated RVS environment.
Easy to get started
It’s easy to get started collecting data with the RTBx. With a web-based manager, you can easily configure your collection settings through a graphical interface.
You can start the RTBx up remotely through the web interface or configure it to start up automatically when you run your code through simple build scripts.
Reduce post-processing effort
The RTBx reduces the effort needed to process your data by providing a range of filtering options with which you can automatically filter the data collected from your target as it’s captured.
By specifying pin signatures and masks, you can ensure that you only capture the relevant data, eliminating unnecessary effort later in your analysis.
Product features
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High-speed continuous processing Log and timestamp trace data produced at high rates for days on end.Discover this feature -
Automatically timestamp data Remove the need for on-target timestamping procedures or hardware that causes bottlenecks in your testing.Discover this feature
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Flexible connection strategies Connect to almost any embedded target with a range of connection strategies.Discover this feature -
Web-based manager Manage the RTBx easily through a web client.Discover this feature -
Automated tracing Integrate into your existing continuous build environment to collect data from tests automatically.Discover this feature
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On-the-fly filtering Reduce downstream data processing time by filtering data as it is collected.Discover this feature
Downloads
News & Blog
Specifications
| Specification | RTBx 2220 | RTBx 2320* | RTBx 2240* | RTBx 2340* |
|---|---|---|---|---|
| Signal input | Up to 32 bit | Up to 64 bit | ||
| Maximum sustained tracing rate (million ipoints/second) | 250 | 720 | 250 | 720 |
| Minimum ipoint separation | 4 ns | 2 ns | 4 ns | 2 ns |
| Sampling frequency | 250 MHz | 720 MHz | 250 MHz | 720 MHz |
| Storage capacity | 500 GB† | |||
| Typical continuous tracing duration | Days | |||
| Electrical signal | LVDS/TTL‡ | |||
*Currently under development; specification of the final model may change. †Additional capacity available on request. ‡Using an adapter.
Frequently asked questions
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What if I don’t have a spare I/O port?
You can connect RTBx to an address bus that runs at up to 250 MHz. To do this, you must reserve a range of addresses for ipoints, with one bit reserved to indicate that the value on the address bus is an ipoint. The ipoint instrumentation writes a value to a specific address in that region to denote a specific ipoint. This approach reduces the maximum trace duration of the RTBx.
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Will the RTBx support my processor running at x MHz?
This depends on the number of CPU cycles it takes to output successive ipoints, and the rate ipoints are written at. For example, RTBx 2220 can collect trace data via an I/O port with a minimum separation of 4 ns (250 MHz). This model can therefore support a 1 GHz CPU that outputs trace data once every 4 cycles.
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What is the “maximum sustained tracing rate”?
This is the maximum tracing rate that can be sustained over time, calculated from the number of ipoints the RTBx can process per second. The RTBx can support a higher tracing rate for short periods of time, provided that the minimum separation between instrumentation points is met.
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How do I collect timestamped data with the RTBx?
The RTBx automatically timestamps data it collects, using either an internal clock or that on embedded hardware. This removes the need to configure a timestamping procedure on the embedded target itself, which would incur code size and execution time overheads.
Compared to other hardware that can be used for timestamping such as debuggers and logic analyzers, the RTBx can collect trace data for far longer, meaning that it doesn't become a bottleneck in your testing.
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How do I connect RTBx to my target?
We supply standard data cables, an adapter, and flying leads to connect RTBx to LVDS or TTL I/O ports. If your target hardware uses non-standard pins or electrical signalling, we provide advice on the best way to connect RTBx to your target, and can develop high performance custom cables to meet your needs.
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What is the RTBx?
The RTBx is a data logger that provides a cost-effective, easy-to-use solution for collecting and timestamping long streams of verification data from software tests run on embedded hardware. It is target-independent, supporting a wide variety of target architectures, and provides an excellent way of collecting trace data for use by RVS.
