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20232026
most citedRoadmap for Unconventional Computing with Nanotechnology

83 citations · 85 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.ET2025

Content Addressable Memory Design with Reference Resistor for Improved Search Resolution

Siri Narla, Steven J. Koester, Rebecca A. Dawley +3

Despite the parallel in-memory search capabilities of content addressable memories (CAMs), their use in applications is constrained by their limited resolution that worsens as they…

cs.ET2025

HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing

Md Mizanur Rahaman Nayan, Che-Kai Liu, Zishen Wan +2

Hyperdimensional computing (HDC) is a brain-inspired paradigm valued for its noise robustness, parallelism, energy efficiency, and low computational overhead. Hardware accelerators…

cs.ET2024

A 5T-2MTJ STT-assisted Spin Orbit Torque based Ternary Content Addressable Memory for Hardware Accelerators

Siri Narla, Piyush Kumar, Azad Naeemi

In this work, we present a novel non-volatile spin transfer torque (STT) assisted spin-orbit torque (SOT) based ternary content addressable memory (TCAM) with 5 transistors and 2 m…

cs.ET2024★ 1 cited

Cross-layer Modeling and Design of Content Addressable Memories in Advanced Technology Nodes for Similarity Search

Siri Narla, Piyush Kumar, Mohammad Adnaan +1

In this paper we present a comprehensive design and benchmarking study of Content Addressable Memory (CAM) at the 7nm technology node in the context of similarity search applicatio…

cs.ET2023★ 83 cited

Roadmap for Unconventional Computing with Nanotechnology

Giovanni Finocchio, Jean Anne C. Incorvia, Joseph S. Friedman +48

In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same ti…