DeepGEMM-Ascend
Matrix multiplication kernels optimized for Huawei Ascend NPUs
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DeepGEMM-Ascend is a kernel library providing clean and efficient matrix multiplication implementations for Huawei Ascend Neural Processing Units. It enables developers to leverage optimized computational routines for tensor operations on Ascend hardware.
The library is designed for developers building AI and machine learning applications that require high-performance matrix operations on Ascend NPU infrastructure. Published as open-source on GitHub.
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