What is it about?

This work introduces SCALE, a software platform that allows programs written in CUDA to run seamlessly on AMD GPUs. SCALE removes the need to rewrite code, saving time and effort, while enabling developers to choose hardware based on performance and cost rather than being locked into a specific vendor.

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Why is it important?

SCALE is a transformative tool that addresses key limitations in the GPU ecosystem, including high development costs, lack of flexibility, and dependency on a single hardware vendor. By enabling CUDA applications to run natively on AMD GPUs, SCALE breaks vendor lock-in and makes AMD a viable option for CUDA-based workloads. This innovation reduces supply chain risks, accelerates deployment, and lowers development costs, providing developers with unprecedented freedom in hardware selection. By lowering barriers to entry and simplifying cross-platform development, SCALE can significantly impact industries reliant on GPU acceleration, such as machine learning, data analytics, and scientific computing.

Perspectives

Working on SCALE has been an exciting journey in redefining GPU programming. SCALE not only resolves the limitations of existing solutions like HIPfy and SYCLomatic but also opens new avenues for developers by combining CUDA’s familiarity with AMD’s powerful GPU architectures. I am particularly proud of its seamless integration with numerous open-source projects and the robustness it demonstrates in real-world applications. I believe SCALE will foster a more flexible and cost-effective GPU development ecosystem, empowering developers to innovate without constraints.

Manos Pavlidakis

Read the Original

This page is a summary of: SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs, December 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3704440.3704782.
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