activity
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

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2019★ 8 cited

5 Parallel Prism: A topology for pipelined implementations of convolutional neural networks using computational memory

Martino Dazzi, Abu Sebastian, Pier Andrea Francese +3

In-memory computing is an emerging computing paradigm that could enable deeplearning inference at significantly higher energy efficiency and reduced latency. The essential idea is…