Timothy M. Philip, Kevin W. Brew, et al.
MRS Bulletin
Computational memory (CM) is a promising non-von Neumann approach where certain computational tasks are performed within resistive memory units by exploiting their physical attributes. We propose a new method for fast and robust compressed sensing (CS) recovery of sparse signals using CM. For a signal of size N, this method achieves a potential O(N)-fold complexity reduction compared with a standard software approach. Large-scale experimental demonstrations using more than 256k phase-change memory (PCM) devices are presented along with an in-depth device analysis and array-level considerations.
Timothy M. Philip, Kevin W. Brew, et al.
MRS Bulletin
Bipin Rajendran, Abu Sebastian, et al.
IEEE SPM
Manuel Le Gallo
CIMTEC 2024
Matthias Kaes, Manuel Le Gallo, et al.
Journal of Applied Physics