@goharmazen8388873

HIPForge is an AI-driven platform that helps developers migrate CUDA projects to AMD ROCm with less manual work. A developer can upload a single CUDA file or a complete project, choose the target AMD GPU architecture, and let HIPForge manage the migration process. HIPForge first scans the project to understand its source files, headers, dependencies, and build setup. It then uses AMD HIPIFY to translate CUDA code into HIP and compiles the migrated project with the real ROCm hipcc compiler. When compilation fails, HIPForge analyzes the compiler errors, creates a focused AI repair, checks that the patch is safe and limited, and retries the build. Unlike a basic code translator, HIPForge manages the full workflow from source code to a downloadable migrated project. It records compiler attempts, target architecture, code changes, validation results, cache evidence, and remaining warnings in a transparent report. HIPForge also clearly separates compilation from runtime testing. It never claims that a project is fully runtime-validated unless it was actually executed successfully on AMD hardware. Our goal is to reduce software lock-in and give developers, startups, researchers, and companies a practical bridge from existing CUDA software to AMD ROCm.

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