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cs.ET2024
Approximate ADCs for In-Memory Computing
Arkapravo Ghosh, Hemkar Reddy Sadana, Mukut Debnath +5
In memory computing (IMC) architectures for deep learning (DL) accelerators leverage energy-efficient and highly parallel matrix vector multiplication (MVM) operations, implemented…
cs.ET2024★ 3 cited
WAGONN: Weight Bit Agglomeration in Crossbar Arrays for Reduced Impact of Interconnect Resistance on DNN Inference Accuracy
Jeffry Victor, Dong Eun Kim, Chunguang Wang +2
Deep neural network (DNN) accelerators employing crossbar arrays capable of in-memory computing (IMC) are highly promising for neural computing platforms. However, in deeply scaled…