Tracealyzer

Prepare for a soft landing

Prepare for a soft landing

Swiss student rocket team ARIS from Zürich leverages visual trace diagnostics to smooth the trajectory of its autonomous rocket recovery system.

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Tracealyzer v4.5 Is Out

Tracealyzer v4.5 Is Out

We have released Tracealyzer version 4.5 with support for Espressif’s ESP32 MCUs and for Zephyr RTOS, with other improvements as well.

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Using Tracealyzer to Evaluate Python Algorithms in Linux

Using Tracealyzer to Evaluate Python Algorithms in Linux

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.

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Understanding the impact of compiler options on performance

Understanding the impact of compiler options on performance

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.

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5 Steps to Speed Multithreaded Embedded Software Development

5 Steps to Speed Multithreaded Embedded Software Development

Your organization can get to market faster with higher-quality products when given better insight into the “dark side of the code”—the actual behavior of the full software system. Intended and actual behavior may differ in myriad ways that are not apparent from the source code.

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