In June this year, IAR Systems and GigaDevice announced that they were working together on RISC-V. The two companies have now extended that partnership to include delivering development tools for Arm Cortex-M3, Cortex-M4, Cortex-M23 and Cortex-M33 MCUs.
GigaDevice’s GD32 series of high-performance, low-power, and cost-effective universal MCUs are built around the Arm Cortex-M3, Cortex-M4, Cortex-M23 and Cortex-M33 cores. The GD32 MCU family integrates GigaDevice’s advanced gFlash memory technology to provide additional functionality and design flexibility.
IAR Embedded Workbench for Arm is a complete development toolchain that provides everything required for development in a single easy-to-use IDE. The toolchain provides full debugging and analysis solutions including complex code and data breakpoints, runtime stack analysis, call stack visualization, code coverage analysis and integrated monitoring of power consumption. To guarantee code quality, the static code analysis tool C-STAT and the runtime analysis tool C-RUN have also been integrated.
“We see a huge interest for GigaDevice’s GD32 MCUs thanks to our stable and consistent offering, and the fact that our customers are now able to use IAR Embedded Workbench for Arm is a major step forward in maximizing the performance of the MCUs,” said Eric Jin, Product Marketing Director, GigaDevice. “Thanks to the partnership with IAR Systems, we ensure our customer access to not only high-performance, cost-effective microcontrollers, but also tools that make our microcontrollers perform at their best.”
“We are happy to extend our renowned development tools for Arm with support for GigaDevice’s GD32 Arm Cortex-M MCUs,” said Anders Holmberg, General Manager Embedded Development Tools, IAR Systems. “GigaDevice is becoming an increasingly more important player in the embedded industry and we are working close together to ensure powerful and flexible solutions on a broad scale covering both RISC-V and Arm-based applications.”
Support for GigaDevice GD32 Arm MCUs is available in latest version of IAR Embedded Workbench for Arm, version 8.50.9.