![]() This online conference talk will present an approach to obtaining data from industrial and environmental systems using an Arduino Nano 33 BLE Sense board, Communication Terminal software, and sensor programming techniques. Combining sensors and SoC microcontrollers, PCBs can provide an approach to aggregating data from industrial and environmental systems. Included on these PCBs are System on Chip (SoC) microcontrollers. With micro-miniaturization or MEMs technologies, sensors can be populated on small form factor Printed Circuit Boards (PCBs). Once you know about these advanced techniques and the tools behind them, you’ll never want to go back to basic debugging!Īggregating Data and Sensor Programming With The Arduino Nano 33BLE Sense BoardĪggregating data from industrial or environmental systems can require costly data logging or acquisition devices. Going far deeper than the system insights provided by debuggers, this is especially useful when developing and working with complex embedded systems comprising of multiple threads and interrupts. Find out how you can do real-time recording and visualization of your embedded application, revealing its true runtime behavior. Discover how Code Coverage lets you measure the execution of code, detect unreachable code, and code not covered by tests, allowing for fast, efficient code improvement. Learn about measuring the execution time and frequency of functions, blocks, and instructions using Code Profiling, making it easier to discover optimization potential. See how Streaming Instruction Tracing lets you capture what your embedded system really executes, in a non-intrusive way. Presented by SEGGER MicrocontrollerPacked with live demos, this session introduces you to advanced debugging and performance analysis techniques for your embedded system. ![]() By doing so, they can ensure that their IoT devices are reliable, cost-effective, and sustainable.Īdvanced Debugging and Performance Analysis Techniques for Embedded Applications The goal of this presentation is to educate IoT developers and decision-makers on the best practices for choosing the right generation of mobile communication and sending messages in an energy-efficient manner. By choosing the right combination of technology and protocol, IoT devices can achieve optimal energy efficiency and reliable communication. We will also discuss the optimal way to send messages in an energy-efficient manner, taking into account factors such as data rate, latency, and power consumption. We will examine the pros and cons of each technology and highlight the key features that make them suitable for different types of IoT applications. In this presentation, we will explore the different generations of mobile communication technology and the protocols that are available for IoT devices. With the increasing number of IoT devices, it is important to choose the right generation of mobile communication technology that can support the device's requirements while maximizing energy efficiency. In the world of IoT, energy efficiency is a critical factor that determines the success of a device. The overhead introduced by a hypervisor is also reduced, making the overall approach very lean.Īdopting an Energy-Saving Mindset for IoT World The combination of programmable logic technology and coloured lockdown concepts for shared cache management in conjunction with the open-source Jailhouse hypervisor make it possible to use Linux and bare-metal isolated applications running independently in the cluster. ![]() Shared resources like the level 2 cache and memory controller guarantee performances on average, however worst case execution time is affected by interference amongst cores when accessing shared caches and memories. Demand for this solution is has skyrocketed in Industrial, Automotive and Avionics applications because software architects strongly prefer to use an application processing cluster like a set of single cores when executing real time code. This approach results in improving worst case execution time (WCET) and reducing latency by isolating and partitioning the cluster such that software developed for single cores can be reused. ![]() This webinar describes how to use the ARM Cortex® A53 application processor cluster in Zynq® Ultrascale+™ to implement real-time asymmetric multiprocessing (RTAMP). Often, the performance limitations of real-time processors lead designers to consider and use application processors to achieve desired performance at expense of determinism and worst case execution time (WCET). Today's market requirements are forcing increased computational requirements across all embedded applications through the use of multi-core SoCs, while simultaneously requiring the preservation of legacy real-time code often developed decades ago for single core processors. Zynq ® Ultrascale+™ delivers Deterministic Processing for Mixed Criticality Applications in Industrial, Automotive, and Aviation Markets ![]()
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