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Bringing CUDA and HIP Applications to More Hardware with OpenCL and SPIR-V

Scientific applications are often tied to proprietary GPU APIs, so a change of hardware means a change of code. The chipStar open-source project uses open standards to run those applications on additional hardware without rewriting them for each platform. chipStar compiles supported CUDA and HIP kernels into SPIR-V and runs them on compatible devices through OpenCL. Developers preserve much of their existing code and focus porting efforts on unsupported features, library dependencies, and performance tuning. chipStar shows how Khronos standards help expand hardware choice while protecting investments in application development.

The Khronos Group·12h ago·1m
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