SWANN shuffles weights in 128x128 crossbar arrays to mitigate interconnect resistance, raising ResNet-20/CIFAR-10 accuracy from 47.78% to 83.5% in 7nm 8T-SRAM with under 1% energy overhead.
In-Memory Computing Primitive for S ensor Data Fusion in 28 nm HKMG FeFET Technology,
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WAGONN: Weight Bit Agglomeration in Crossbar Arrays for Reduced Impact of Interconnect Resistance on DNN Inference Accuracy
SWANN shuffles weights in 128x128 crossbar arrays to mitigate interconnect resistance, raising ResNet-20/CIFAR-10 accuracy from 47.78% to 83.5% in 7nm 8T-SRAM with under 1% energy overhead.