Abstract: In this paper, we propose an accelerator architecture positioned between Coarse-Grained Reconfigurable Architectures (CGRAs) and Field Programmable Gate Arrays (FPGAs), focusing on both ...
Abstract: This tutorial focuses on memory elements and analog/digital (A/D) interfaces used in mixed-signal accelerators for deep neural networks (DNNs) in machine learning (ML) applications. These ...
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