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cs.AR2025
Periodic Online Testing for Sparse Systolic Tensor Arrays
Christodoulos Peltekis, Chrysostomos Nicopoulos, Giorgos Dimitrakopoulos
Modern Machine Learning (ML) applications often benefit from structured sparsity, a technique that efficiently reduces model complexity and simplifies handling of sparse data in ha…
cs.AR2025
Optimizing Structured-Sparse Matrix Multiplication in RISC-V Vector Processors
Vasileios Titopoulos, Kosmas Alexandridis, Christodoulos Peltekis +2
Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Acc…