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Design-Reuse5y
Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference - Design And Reuse
This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...
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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...