Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

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



Hayate Okuhara , Ahmed Elnaqib , Martino Dazzi , Pierpaolo Palestri , Simone Benatti , Luca Benini , Davide Rossi


   Access Paper or Ask Questions

Compiling Neural Networks for a Computational Memory Accelerator



Kornilios Kourtis , Martino Dazzi , Nikolas Ioannou , Tobias Grosser , Abu Sebastian , Evangelos Eleftheriou

* Submitted to SPMA '20 

   Access Paper or Ask Questions

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



Martino Dazzi , Abu Sebastian , Pier Andrea Francese , Thomas Parnell , Luca Benini , Evangelos Eleftheriou


   Access Paper or Ask Questions