Rapita Systems announces the availability of the RTBx real-time data logger family. RTBx is designed to make it easy to collect execution time data from virtually any embedded, real-time target with minimal impact on the execution time of the application. The high data capacity of RTBx means that timing data can be collected from even the longest running test cases.
Execution time data can be used in a variety of ways in analyzing and optimizing applications for embedded, real-time targets. For example, it can be used with Rapita’s execution time analysis tool, RapiTime, to measure minimum and maximum execution times, to verify code coverage, to obtain a predicted worst-case execution time, or to find performance hotspots within the code as optimization candidates.
“The RTBx family provides an effective, target-independent approach for logging execution time data for real-time applications” commented Dr Andrew Coombes of Rapita Systems. “The capacity of the RTBx is astonishing – our experiments have shown that running a fully-instrumented version of the Dhrystone benchmark on a 96MHz ARM9, an RTBx can collect trace data for up to 151 days.”
The RTBx is available in two variants: the RTBx1210 captures data up to 16 bits wide and the RTBx1220 captures data at higher rates, in larger volumes and up to 32 bits wide.
For further information on RTBx, visitwww.RapitaSystems.com/RTBx
About Rapita Systems Ltd
Rapita Systems is a specialist in on-target timing analysis of real-time embedded systems. Its RapiTime tool suite performs real-time timing analysis of embedded systems including avionics, telecommunications, space and automotive electronics. RapiTime provides a unique solution for analyzing worst-case execution time and performance profiling. RapiTime provides real-time timing analysis for complex software running on most microcontrollers and microprocessors. A privately owned company, Rapita Systems was founded in 2004 to commercialise worst-case execution time analysis and simulation technology developed in the Real-time Systems Research Group at the University of York.