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10/27/2022
RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN
The second-order training methods can converge much faster than first-or...
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03/11/2022
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity
The training phases of Deep neural network (DNN) consumes enormous proce...
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03/09/2022
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction
Vision transformer (ViT) has achieved competitive accuracy on a variety ...
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03/02/2021
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network
Resistive Random-Access-Memory (ReRAM) crossbar is a promising technique...
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10/19/2018
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators
Neural approximate computing gains enormous energy-efficiency at the cos...
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07/27/2018