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cs.AR2024
Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks
Junyi Yang, Ruibin Mao, Mingrui Jiang +9
Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using p…
cs.AR2024
Topkima-Former: Low-energy, Low-Latency Inference for Transformers using top-k In-memory ADC
Shuai Dong, Junyi Yang, Xiaoqi Peng +5
Transformer model has gained prominence as a popular deep neural network architecture for neural language processing (NLP) and computer vision (CV) applications. However, the exten…