101 citations · 101 across the 2 of their papers we have counts for
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cs.AR2023
Design and Optimization of Residual Neural Network Accelerators for Low-Power FPGAs Using High-Level Synthesis
Filippo Minnella, Teodoro Urso, Mihai T. Lazarescu +1
Residual neural networks are widely used in computer vision tasks. They enable the construction of deeper and more accurate models by mitigating the vanishing gradient problem. The…
cs.AR2023★ 101 cited
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi +19
Recent trends in deep learning (DL) have made hardware accelerators essential for various high-performance computing (HPC) applications, including image classification, computer vi…