Author

Zhiguang Wang

h-index 0 View on Semantic Scholar

We have 1 of 2 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jul 2026

Realizable N:M Sparse Transformer Inference via Search-Kernel Co-design

This work designs MD-SpMM, an N:M sparse CUDA kernel that reorganizes sparse GEMM into micro-dense, Tensor-Core-aligned dataflow and uses inference-aware adaptive parallelism to sustain utilization and performs layer-wise sparsity search under explicit end-to-end latency budgets.

Yi-Ming Liu, Wenqi Lou, Zhiguang Wang et al. · European Conference on Paral... · 0 citations