An efficient fpga-based depthwise separable convolutional neural network accelerator with...

[PDF] ieee.org

Applications of Pruning Methods in Natural Language Processing

M Touheed, U Zubair, D Sabir, A Hassan… - IEEE …, 2024 - ieeexplore.ieee.org
Deep neural networks (DNN) are in high demand because of their widespread applications
in natural language processing, image processing, and a lot of other domains. However …
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[PDF] arxiv.org

HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator

Z Yu, S Sreeram, K Agrawal, J Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep Neural Networks (DNNs) excel in learning hierarchical representations from raw data,
such as images, audio, and text. To compute these DNN models with high performance and …
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[PDF] arxiv.org

An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes

M Wang, X Wu, J Lin, Z Wang - arXiv preprint arXiv:2402.14307, 2024 - arxiv.org
Convolutional neural networks (CNNs) with large kernels, drawing inspiration from the key
operations of vision transformers (ViTs), have demonstrated impressive performance in …
相关文章 所有 2 个版本