4 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
DeMM: A Decoupled Matrix Multiplication Engine Supporting Relaxed Structured Sparsity
Christodoulos Peltekis, Vasileios Titopoulos, Chrysostomos Nicopoulos +1
Deep Learning (DL) has achieved unprecedented success in various application domains. Meanwhile, model pruning has emerged as a viable solution to reduce the footprint of DL models…
IndexMAC: A Custom RISC-V Vector Instruction to Accelerate Structured-Sparse Matrix Multiplications
V. Titopoulos, K. Alexandridis, C. Peltekis +2
Structured sparsity has been proposed as an efficient way to prune the complexity of modern Machine Learning (ML) applications and to simplify the handling of sparse data in hardwa…