1.5k citations · 1.5k across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks
Sandeep Kaur Kingra, Vivek Parmar, Manoj Sharma +1
In this work, we experimentally demonstrate two key building blocks for realizing Binary/Ternary Neural Networks (BNNs/TNNs): (i) 130 nm CMOS based sigmoidal neurons and (ii) HfOx…
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…
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…