• Extend Your Architecture-Level Porting Skills Into RISC-V with this new course from RISC-V International and Linux Foundation Education We’ve teamed up with the Linux Foundation to launch Porting Software to RISC-V (LFD114), a free, self-paced course for experienced engineers who need to move performance-critical software to RISC-V with confidence. • Designed for professionals working close to the hardware, this advanced course focuses on real-world porting challenges across instruction sets, operating systems, and firmware. • RISC-V adoption is accelerating across artificial intelligence (AI) and machine learning (ML), embedded systems, data centers, automotive, high performance computing, and custom silicon. • But organizations don’t start from scratch, they bring decades of existing platform software with them. • As a result, successful RISC-V deployments depend on engineers who can: - Bridge established architectures and RISC-V platforms - Identify where architectural assumptions differ - Reason about differing memory models - Map instruction semantics across architectures - Adapt and reproduce performance optimizations across platforms Porting Software to RISC-V (LFD114) is built for developers who already understand modern 64-bit architectures - or RISC-V - and want to apply that knowledge in higher-impact work. • The course contrasts widely used 64-bit instruction set baselines with RISC-V RV64GC, as baselines to explore both architectural similarities and meaningful differences

Article Summaries:

  • RISC‑V International and the Linux Foundation Education have launched a free, self‑paced course (LFD114) aimed at experienced engineers who need to port performance‑critical software to RISC‑V. The advanced program focuses on real‑world challenges such as instruction‑set translation, operating‑system and firmware integration, memory‑model differences, and SIMD optimization. It targets professionals already familiar with 64‑bit architectures, offering practical modules on C/C++ and assembly porting, compiler intrinsics, and system bring‑up. The initiative is part of a broader push to accelerate RISC‑V adoption in AI, ML, embedded systems, data centers, automotive, and high‑performance computing, with support from RISCstar Solutions.

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