2 papers
cs.AR2026
A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference
Amirhossein Zarei, Shervin Vakili
Efficient acceleration of convolutional neural networks (CNNs) on resource-constrained platforms remains challenging due to the irregularity of sparsity patterns and the associated…
cs.AR2023
Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration
Shervin Vakili, Mobin Vaziri, Amirhossein Zarei +1
Multipliers are widely-used arithmetic operators in digital signal processing and machine learning circuits. Due to their relatively high complexity, they can have high latency and…