Validating your GNU platform toolchain: tips and techniques
Mark Mitchell and Anil Khanna, Mentor Graphics
EETimes (9/30/2011 8:04 PM EDT)
Open-source tools for your open-source Android/Linux platform.
In the past few years we've seen the embedded design community move away from proprietary software development tools and move decisively closer to open-source software (OSS) development.
As one would expect, accompanying this shift is an increased demand for proven, top-quality OSS tools. For embedded systems developers designing for embedded Linux, the GNU toolchain is the most popular choice due to its standing as the natural toolchain of the Linux kernel community.*
So how do you obtain a GNU toolchain? You can opt to purchase a commercial toolchain from an established vendor or you may decide to build the toolchain yourself. Successfully building a GNU toolchain, while a significant achievement, is only half the work. Meaningfully testing and validating to ensure the production-worthiness of your toolchain, is the critical second half.
With its massive codebase of 10 million lines or more, adequately testing the GNU toolchain can pose a mammoth task, as illustrated by Table 1. It's vital to create a methodical validation strategy to achieve maximal testing of the various components.
To read the full article, click here
Related Semiconductor IP
- TSMC 7nm 0V75 / 0V9 ESD Local Clamp – Low Cap
- TSMC 65nm 3V3 ESD Local Clamp – Rad Hard
- TSMC 5nm 1V8, 1.2V and 0.9V ESD Local Protection – Low Cap
- TSMC 3nm 3V3 ESD Local Clamp
- TSMC 3nm 1V2 ESD Local Clamp – Low Capacitance
Related Articles
- Pondering the SoC platform
- Panel finds many ways to build a platform
- Platform approach speeds MIPS-based SoCs
- Platform IP for all seasons
Latest Articles
- LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension
- A Process-Aware Hybrid Si/IGO Monolithic-3D 6T SRAM with BEOL Pass-Gates for the 2nm Node
- Automated Estimation of MBIST Area and Test Time in Heterogeneous Memory IPs via Stacked Ensemble Framework
- VIPER: Architecture-Aware Performance Modeling for Processing-in-Memory Design-Space Exploration
- CTTE: An Open Dual-Protocol RISC-V Trace Encoder for N-Trace and E-Trace