IAR Build Tools for RISC-V
Automated builds on Ubuntu, Red Hat or Windows using leading build tools from IAR Embedded Workbench for RISC-V.
Complete build tools for RISC-V
The build tools include the IAR C/C++ Compiler, IAR Assembler, Linker and the command line build utility IARBuild for supporting cross-platform frameworks for automated application build and test processes. The build tools enable large-scale deployments of critical software building and testing.
Flexible and high performance
Suitable for installations ranging from a few licenses on a small build server, to massive installations with several hundreds of parallel builds active at the same time.
Broad device support
The build tools support RV32 and RV32E 32-bit RISC-V cores and extensions, including RISC-V P extension for Packed-SIMD instructions. In addition, RV64 cores and the RV64I base instruction set are supported. The support for custom extensions helps when working with designing custom cores with exact definitions for an application or a product.
Modern, scalable workflows
Support for modern and scalable build server topologies for CI/CD pipelines including Virtual Machines, Containers (Docker) and Self-hosted Runners.
Enabled by IAR Build Tools for Linux
Today's development practices require automated processes to ensure quality, and to run builds and tests continuously. All changes, even minor ones, are merged back to the main branch or repository in a build server so they can be committed and validated in small steps to avoid the integration nightmare to guarantee that all pieces work together just before a release. Merges are done as often as possible or at least once a day.
Many companies are bringing this approach to the next level by adding automated release processes and deployment of the application at any time.
Continuous Integration and Continuous Delivery
Build servers and build farms require flexible and high-performance environments. By using our build tools for Linux, you are able to use Continuous Integration and Continuous Delivery in Linux environments natively or as virtual machines or containers with high performance. This allows you to focus on the source code and not worry about time-consuming manual tasks, while errors are caught automatically.