In this paper, we present a hardware-aware pruning method where the locations of non-zero weights are derived in real-time from a Linear Feedback Shift ...

Jun 28, 2021 · In this paper, we present a hardware-aware method to prune dense DNNs which reduces the memory footprint while preserving the original accuracy.

A hardware-aware pruning method where the locations of non-zero weights are derived in real-time from a Linear Feedback Shift Registers (LFSRs) to reduce ...

Unfortunately, these techniques come with a large hardware overhead. In this paper, we present a hardware-aware pruning method where the locations of non-zero ...

In this paper, we present a hardware-aware method to prune dense DNNs which reduces the memory footprint while preserving the original accuracy. We utilize an ...

This is an implementation of a hardware pseudo-random number generator (pRNG) using multiple LFSR (Multi-LFSR) for generation, and ambient electromagnetic noise ...

Unfortunately, these techniques come with a large hardware overhead. In this paper, we present a hardware-aware pruning method where the locations of non-zero ...

Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices ... qasem, A double stage implementation for 1-k pseudo rng using lfsr and ...

Hardware-aware pruning of dnns using lfsr-generated pseudo-random indices. F Karimzadeh, N Cao, B Crafton, J Romberg, A Raychowdhury. 2020 IEEE International ...

Jun 28, 2021 · In this article, we propose a hardware-aware pruning method using linear feedback shift register (LFSRs) to generate the locations of non-zero ...