Differentially Private Stochastic Coordinate Descent
Georgios Damaskinos, Celestine Mendler-Dünner, et al.
NeurIPS 2020
Phase-change materials and devices have received much attention as a potential route to the realization of various types of unconventional computing paradigms. In this letter, we present non-von Neumann arithmetic processing that exploits the accumulative property of phase-change memory (PCM) cells. Using PCM cells with integrated FET access devices, we perform a detailed study of accumulation-based computation. We also demonstrate efficient factorization using PCM cells, a technique that could pave the way for massively parallelized computations.
Georgios Damaskinos, Celestine Mendler-Dünner, et al.
NeurIPS 2020
Abu Sebastian, Manuel Le Gallo, et al.
Nature Nanotechnology
Chuteng Zhou, Fernando Garcia Redondo, et al.
IEEE Micro
Martino Dazzi, Abu Sebastian, et al.
Frontiers in Computational Neuroscience