12 citations · 19 across the 4 of their papers we have counts for
5 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…
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…
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…
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…