41 citations · 77 across the 12 of their papers we have counts for
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cs.LG2022★ 2 cited
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks
Akul Malhotra, Sumeet Kumar Gupta
Model compression via quantization and sparsity enhancement has gained an immense interest to enable the deployment of deep neural networks (DNNs) in resource-constrained edge envi…
cs.AR2022
ADRA: Extending Digital Computing-in-Memory with Asymmetric Dual-Row-Activation
Akul Malhotra, Atanu K. Saha, Chunguang Wang +1
Computing in-memory (CiM) has emerged as an attractive technique to mitigate the von-Neumann bottleneck. Current digital CiM approaches for in-memory operands are based on multi-wo…