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cs.AR2025
Systolic Sparse Tensor Slices: FPGA Building Blocks for Sparse and Dense AI Acceleration
Endri Taka, Ning-Chi Huang, Chi-Chih Chang +3
FPGA architectures have recently been enhanced to meet the substantial computational demands of modern deep neural networks (DNNs). To this end, both FPGA vendors and academic rese…
cs.AR2023★ 1 cited
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine
Endri Taka, Aman Arora, Kai-Chiang Wu +1
The increasing computational and memory requirements of Deep Learning (DL) workloads has led to outstanding innovations in hardware architectures. An archetype of such architecture…