918 citations · 948 across the 3 of their papers we have counts for
4 papers
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Malte J. Rasch, Charles Mackin, Manuel Le Gallo +10
Analog in-memory computing (AIMC) -- a promising approach for energy-efficient acceleration of deep learning workloads -- computes matrix-vector multiplications (MVMs) but only app…
Evolutionary optimization of all-dielectric magnetic nanoantennas
Nicolas Bonod, Sebastien Bidault, Geoffrey W. Burr +1
Magnetic light and matter interactions are generally too weak to be detected, studied and applied technologically. However, if one can increase the magnetic power density of light…
Fiber-integrated single photon source of high efficiency based on a concept of ultra-broadband optical horn antenna
T. Grosjean, M. Mivelle, G. W. Burr +1
We theoretically demonstrate a fiber-integrated single photon source of unprecedented efficiency. This fiber single photon source is achieved by coupling optically a single quantum…
Phase change memory technology
Geoffrey W. Burr, Matthew J. Breitwisch, Michele Franceschini +10
We survey the current state of phase change memory (PCM), a non-volatile solid-state memory technology built around the large electrical contrast between the highly-resistive amorp…