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20172024
most citedToward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons

190 citations · 715 across the 20 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.ET2018★ 148 cited

A Photonic In-Memory Computing primitive for Spiking Neural Networks using Phase-Change Materials

Indranil Chakraborty, Gobinda Saha, Kaushik Roy

Spiking Neural Networks (SNNs) offer an event-driven and more biologically realistic alternative to standard Artificial Neural Networks based on analog information processing. This…

cs.ET2018★ 190 cited

Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons

Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta +1

The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware…

cs.ET2018★ 18 cited

Design of a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets

Indranil Chakraborty, Amogh Agrawal, Kaushik Roy

The inherent stochasticity in many nano-scale devices makes them prospective candidates for low-power computations. Such devices have been demonstrated to exhibit probabilistic swi…

cs.ET2018

Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency

Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty +1

We propose capacitively driven low-swing global interconnect circuit using a receiver that utilizes magnetoelectric (ME) effect induced magnetization switching to reduce the energy…

cs.ET2018

8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing

Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal +1

Large scale digital computing almost exclusively relies on the von-Neumann architecture which comprises of separate units for storage and computations. The energy expensive transfe…