n:m-sparsity

This paper proposes a hardware-software co-design framework for N:M sparse vision Transformer inference, achieving over 2.2× latency speedup on GPUs while maintaining accuracy through a novel CUDA kernel (MD-SpMM) and a deployment-aware sparsity search.