216 citations · 384 across the 13 of their papers we have counts for
3 papers · 1 filter
Design and Characterization of Superconducting Nanowire-Based Processors for Acceleration of Deep Neural Network Training
Murat Onen, Brenden A. Butters, Emily Toomey +2
Training of deep neural networks (DNNs) is a computationally intensive task and requires massive volumes of data transfer. Performing these operations with the conventional von Neu…
Cryogenic Memory Architecture Integrating Spin Hall Effect based Magnetic Memory and Superconductive Cryotron Devices
Minh-Hai Nguyen, Guilhem J. Ribeill, Martin Gustafsson +19
One of the most challenging obstacles to realizing exascale computing is minimizing the energy consumption of L2 cache, main memory, and interconnects to that memory. For promising…
A Power Efficient Artificial Neuron Using Superconducting Nanowires
Emily Toomey, Ken Segall, Karl K. Berggren
With the rising societal demand for more information-processing capacity with lower power consumption, alternative architectures inspired by the parallelism and robustness of the h…