ARM® mbed™ OS is an open source embedded operating system designed specifically for the "things" in the Internet of Things (IoT). It includes all of the features you need to develop a connected product based on an ARM Cortex-M microcontroller, and is ideal for applications in smart cities, smart homes and wearables. Fast track your IoT application development with mbed OS and it's implementation on Kinetis MCUs.

We will show you how to use and leverage the work done by NXP's board solutions team to increase quality, reduce design iterations, decrease costs, and reduce time to market. NXP has extensive manufacturing expertise and can provide guidelines and advice on symbols and footprints as well as product development challenges. NXP maintains a qualified library of parts to reduce costs and promote common components. Using a proven design process will help to reduce board spins and development time. Schematic standards will improve overall quality and taking advantage of design reuse will reduce cycle time. Watch Video Presentation

ARM® architecture provides virtualization extensions opening the path for efficient and performance-virtualized solutions. KVM, the de facto hypervisor technology in the Linux kernel, was recently extended to support this new architecture. In this presentation we will deep dive in various scenarios and benchmarks to address the best virtualization performance on ARM-based QorIQ SoCs and analyze the behavior of the system running KVM and Containers under different configurations.

Recent trends are moving toward a Linux user space as an environment for packet processing. Hardware vendors have provided their own API in the user space for accessing data plane functions like sending and receiving packets, classification, scheduling, and acceleration. As the market matures, a shift toward a common API is allowing a degree of portability across hardware platforms. For DPDK or ODP, efforts are in place to create a platform independent and vendor-neutral standard API for optimized packet processing and traditional networking services. This session will provide a comparative analysis and evolution of both of these standards. We'll discuss how NXP is working to provide support for these common API without sacrificing performance or leveraging specific acceleration advantages of the NXP data plane architectures.

Topics covered during this session will include a number of topics, including how to leverage LPC’s state controller timer (SCT) to creatively solve challenges faced in your embedded application, such as interfacing to digital LED control, hardware detection of a pulse when listening to sensors, and more. The experts will demonstrate why the LPC state controller timer (SCT) is the simplest timer in the market, providing hand-on training, walking you through a number of demonstrations where the SCT was able to solve fairly complex challenges.

In this session, we will review the next generation Kinetis Expert Configuration tools that will replace Processor Expert functionality. You can use these tools to generate pin muxing, clocking configuration and power consumption estimates of your low power solutions. Although the Kinetis SDK provides many good examples of how to use the SDK, the configuration tools come in handy when you begin to design your own hardware solution and need software to support your custom design using Kinetis MCUs. This class will get you excited about trying our tools, which you can experiment with online or in the Technology Lab. Watch Video Presentation

IoT applications often share some basic requirements; the applications themselves need to be small, fast and low-energy, while the time to market should be as short as possible. To help you meet these demands, a wide range of possibilities and techniques for performing smart debugging of code is actually already at your fingertips. At this session you will learn how to use debug features like various types of complex breakpoints, macros, stack checking, event logging, live data, profiling and runtime code analysis in a smart way for comprehensive debugging of your code.

To use the processor in an integrated design is one way. To use an embedded module is another way and will speed up the design, reduce the design risk and lower the design cost. What support will be offered by the different module suppliers? What limitations and restrictions are there, if you use an embedded module? A market overview and guideline to select your embedded module supplier.