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20192021
most citedA Fully-Integrated 5mW, 0.8Gbps Energy-Efficient Chip-to-Chip Data Link for Ultra-Low-Power IoT End-Nodes in 65-nm CMOS

9 citations · 21 across the 3 of their papers we have counts for

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cs.DC2020★ 4 cited

Compiling Neural Networks for a Computational Memory Accelerator

Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou +3

Computational memory (CM) is a promising approach for accelerating inference on neural networks (NN) by using enhanced memories that, in addition to storing data, allow computation…