scholar.google.com › citations
Therefore, in this paper, we propose an efficient NPU-aware filter pruning method for CNN to increase the efficiency of NPU. NPU-aware filter pruning is�...
Abstract—The neural processing unit (NPU)is a high- performance and low-power acceleration specialized in implementing artificial intelligence (AI) such as�...
Feb 4, 2023 � The NPU needs a compressed network because it is used with low power and low latency to process the convolutional neural network (CNN).
People also ask
What is filter pruning in CNN?
What are the filters used in convolutional neural networks?
Among structured pruning, filter-wise pruning is a widely used pruning technique since it provides a relatively fine granularity for compressing DNNs. To prune�...
Missing: NPU- | Show results with:NPU-
Mar 10, 2022 � Here, based on our hy- pothesis, a useful rule of thumb for efficient filter pruning is to optimally preserve the energy throughout the network.
Mar 18, 2022 � The simplest form of network pruning is to remove individual parameters, which is also known as unstructured pruning. Conversely, the�...
Apr 23, 2023 � In this paper, we propose a dynamic DNN pruning approach that takes into account the difficulty of the incoming images during inference.
We discuss trade-offs in element-wise, channel-wise, shape-wise, filter-wise, layer-wise and even network-wise pruning. Quantization reduces computations by�...
A Novel Convolutional Neural Network Accelerator That Enables Fully-Pipelined Execution of Layers ... Pruning filters for efficient convnets. arXiv preprint arXiv�...
SqueezeNext is introduced, a new family of neural network architectures whose design was guided by considering previous architectures such as SqueezeNet.