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20182024
most citedFully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search

12 citations · 19 across the 4 of their papers we have counts for

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cs.ET2022★ 12 cited

Fully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search

Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma +5

In this work, we propose a fully-binarized XOR-based IMSS (In-Memory Similarity Search) using RRAM (Resistive Random Access Memory) arrays. XOR (Exclusive OR) operation is realized…

cs.ET2020

Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar

Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi +4

In this paper, we present an efficient hardware mapping methodology for realizing vector matrix multiplication (VMM) on resistive memory (RRAM) arrays. Using the proposed VMM compu…

cs.ET2018

SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices

Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang +3

Von Neumann architecture based computers isolate/physically separate computation and storage units i.e. data is shuttled between computation unit (processor) and memory unit to rea…

cs.ET2018

MASTISK

Tinish Bhattacharya, Vivek Parmar, Manan Suri

In this paper, we present MASTISK (MAchine-learning and Synaptic-plasticity Technology Integrated Simulation frameworK). MASTISK is an open-source versatile and flexible tool devel…

cs.ET2018★ 1 cited

Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures

Vivek Parmar, Manan Suri

Deep Learning and its applications have gained tremendous interest recently in both academia and industry. Restricted Boltzmann Machines (RBMs) offer a key methodology to implement…