gemv

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📚Tensor/CUDA Cores, 📖150+ CUDA Kernels, 🔥🔥toy-hgemm library with WMMA, MMA and CuTe(99%~100%+ TFLOPS of cuBLAS 🎉🎉).

Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.

An implementation of SGEMV with performance comparable to cuBLAS.

Highly optimized DGEMV on CPU with both serial and parallel performance better than MKL and OpenBLAS.

Matilda is a library to repeatedly multiply a constant matrix with a variable vector

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