1.5k citations · 1.5k across the 9 of their papers we have counts for
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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…
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study
Khushal Sethi, Vivek Parmar, Manan Suri
Deep learning research has generated widespread interest leading to emergence of a large variety of technological innovations and applications. As significant proportion of deep le…
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…
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications
Vivek Parmar, Syed Shakib Sarwar, Ziyun Li +3
Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse. In this work, we investigate two representative XR…