Jyotipriya Biswas@jyotipriyabiswas31349993

The Gemma 4 Finetuned CUDA-to-ROCm Kernel Translator is a specialized AI model designed to bridge the gap between NVIDIA's proprietary software stack and the open ROCm ecosystem. By finetuning Gemma 4 on large-scale datasets of high-performance computing code, the model moves beyond simple text replacement to provide a deep, semantic translation of GPU source code. It analyzes the logic within CUDA kernels to generate functionally equivalent code in HIP, ensuring that the resulting software can compile and execute natively on AMD hardware. This finetuned approach allows the model to handle complex code structures and library dependencies that traditional automated tools often miss, providing developers with a streamlined path for migrating performance-critical applications. By leveraging Gemma 4’s advanced reasoning capabilities, the translator identifies and resolves potential compatibility issues during the conversion process, maintaining the integrity and intent of the original CUDA source while enabling hardware flexibility.

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