1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AR2026
SegFold: Accelerating Sparse GEMM with a Fine-Grained Dynamic Dataflow
Xinrui Wu, Hanyu Wang, Jason Cong +1
Generalized sparse matrix-matrix multiplication (SpGEMM) is critical in many domains. Existing CPUs and GPUs, as well as specialized accelerators, rely on static dataflows (e.g., i…
cs.DC2025
Can Asymmetric Tile Buffering Be Beneficial?
Chengyue Wang, Wesley Pang, Xinrui Wu +9
General matrix multiplication (GEMM) is the computational backbone of modern AI workloads, and its efficiency is critically dependent on effective tiling strategies. Conventional a…
cs.AR2025★ 1 cited
LLM-DSE: Searching Accelerator Parameters with LLM Agents
Hanyu Wang, Xinrui Wu, Zijian Ding +6
Even though high-level synthesis (HLS) tools mitigate the challenges of programming domain-specific accelerators (DSAs) by raising the abstraction level, optimizing hardware direct…