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Wireless microcontroller

31st May 2016

Posted By Paul Boughton


IAR Systems has launched design tool support for the latest ultra-low power ARM Cortex-M0+-based Kinetis KW41Z wireless microcontroller from NXP Semiconductors.

The support is available in the latest version of the complete C/C++ compiler and debugger toolchain IAR Embedded Workbench for ARM and targets the Kinetis KW41Z MCU. This highly-integrated single-chip device enables Bluetooth Smart/Bluetooth Low Energy (BLE) v4.2 and IEEE 802.15.4-2011 RF connectivity. It is especially suitable for single-chip designs that require concurrent communication on both a BLE network and an 802.15.4-based network such as Thread or ZigBee. Applications include portable health care devices, wearables, gaming controllers, access control security systems, smart energy and home area networks, and more.

IAR Embedded Workbench provides leading compiler technology built by IAR Systems’ compiler experts. It features outstanding code optimisations and generates very fast performing code. Thanks to the shortest possible execution times, it is the ultimate choice for developing low-power applications.

“With the early support for our Kinetis KW41Z MCU, engineers can use the powerful and highly optimising IAR Embedded Workbench for ARM from start and make the most out of the MCU,” says Sujata Neidig, Global Kinetis MCU Marketing Manager at NXP Semiconductors. “The Kinetis KW41Z MCU is targeted for the next-generation of wireless, low-power solutions within a wide range of industries, and we are pleased to work with IAR Systems to make new innovations possible for our mutual customers worldwide.”

IAR Embedded Workbench for ARM is a complete toolchain for embedded development. It includes the powerful IAR C/C++ Compiler as well as the C-SPY Debugger with a broad selection of smart features such as complex code and data breakpoints, runtime stack analysis, call stack visualisation, code coverage analysis and integrated power consumption monitoring. Integrated add-on tools for static analysis and runtime analysis are also available.







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