activity
20222025
most citedA memristive deep belief neural network based on silicon synapses

66 citations · 112 across the 7 of their papers we have counts for

collaborators

7 papers

cs.ET2025

Stateful Logic In-Memory Using Gain-Cell eDRAM

Barak Hoffer, Shahar Kvatinsky

Modern data-intensive applications demand memory solutions that deliver high-density, low-power, and integrated computational capabilities to reduce data movement overhead. This pa…

cs.LG2023

ClaPIM: Scalable Sequence CLAssification using Processing-In-Memory

Marcel Khalifa, Barak Hoffer, Orian Leitersdorf +4

DNA sequence classification is a fundamental task in computational biology with vast implications for applications such as disease prevention and drug design. Therefore, fast high-…

cs.ET2022★ 20 cited

Stateful Logic using Phase Change Memory

Barak Hoffer, Nicolás Wainstein, Christopher M. Neumann +3

Stateful logic is a digital processing-in-memory technique that could address von Neumann memory bottleneck challenges while maintaining backward compatibility with standard von Ne…

cs.ET2022★ 1 cited

Performing Stateful Logic Using Spin-Orbit Torque (SOT) MRAM

Barak Hoffer, Shahar Kvatinsky

Stateful logic is a promising processing-in-memory (PIM) paradigm to perform logic operations using emerging nonvolatile memory cells. While most stateful logic circuits to date fo…

eess.SP2022★ 13 cited

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices

Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo +8

The tunability of conductance states of various emerging non-volatile memristive devices emulates the plasticity of biological synapses, making it promising in the hardware realiza…

physics.app-ph2022★ 66 cited

A memristive deep belief neural network based on silicon synapses

Wei Wang, Loai Danial, Yang Li +6

Memristor-based neuromorphic computing could overcome the limitations of traditional von Neumann computing architectures -- in which data are shuffled between separate memory and p…

cs.ET2022★ 12 cited

Physical based compact model of Y-Flash memristor for neuromorphic computation

Wei Wang, Loai Danial, Eric Herbelin +6

Y-Flash memristors utilize the mature technology of single polysilicon floating gate non-volatile memories (NVM). It can be operated in a two-terminal configuration similar to the…