18 citations · 42 across the 6 of their papers we have counts for
4 papers · 1 filter
3D-aCortex: An Ultra-Compact Energy-Efficient Neurocomputing Platform Based on Commercial 3D-NAND Flash Memories
Mohammad Bavandpour, Shubham Sahay, Mohammad Reza Mahmoodi +1
The first contribution of this paper is the development of extremely dense, energy-efficient mixed-signal vector-by-matrix-multiplication (VMM) circuits based on the existing 3D-NA…
4K-Memristor Analog-Grade Passive Crossbar Circuit
Hyungjin Kim, Hussein Nili, Mahmood Mahmoodi +1
The superior density of passive analog-grade memristive crossbars may enable storing large synaptic weight matrices directly on specialized neuromorphic chips, thus avoiding costly…
Energy-Efficient Moderate Precision Time-Domain Mixed-signal Vector-by-Matrix Multiplier Exploiting 1T-1R Arrays
Shubham Sahay, Mohammad Bavandpour, Mohammad Reza Mahmoodi +1
The emerging mobile devices in this era of internet-of-things (IoT) require a dedicated processor to enable computationally intensive applications such as neuromorphic computing an…
Improving Noise Tolerance of Mixed-Signal Neural Networks
Michael Klachko, Mohammad Reza Mahmoodi, Dmitri B. Strukov
Mixed-signal hardware accelerators for deep learning achieve orders of magnitude better power efficiency than their digital counterparts. In the ultra-low power consumption regime,…