Two weeks ago we released version 4.5 of Percepio Tracealyzer with a lot of new features in it. Now you can watch Percepio FAE Kristoffer Martinsson as he presents the new features in this video.
Percepio today announced Tracealyzer version 4.5 with support for the Espressif ESP32 MCU, the open-source Zephyr RTOS, improved integration with Lauterbach uTrace, and a range of other enhancements.
In this blog post, we will see how Tracealyzer can be used to quickly and efficiently evaluate multiple implementations of an algorithm in Python, a language that is becoming more common in embedded application development as most machine learning frameworks are implemented in Python.
In this post, we’re going to understand how the combination of LTTng and Tracealyzer can shine light on how compiler options impact performance. The method discussed can come in handy whenever we are evaluating the performance of multiple candidate implementations of a particular feature.
Percepio CEO Dr. Johan Kraft will present a selection of best practices in multithreaded embedded software design at the upcoming Embedded Online Conference, 17–20 May.
Read the new Percepio Application Note PA-033 to learn how to leverage the ITM support using a Lauterbach TRACE32/µTrace debugger for visual trace diagnostics and analysis in Tracealyzer.
Percepio and Lauterbach announce their cooperation to achieve faster debugging through closer integration between Percepio Tracealyzer and Lauterbach’s series of TRACE32 high-end tracing tools.
In this blog post, we’re going to demonstrate how to create LTTng tracepoints and how to use Tracealyzer for Linux to measure certain metrics based on these tracepoints.
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