{
  "abstract": "The growing demand for large-scale database search in data-intensive applications, ranging from proteomics to autonomous systems, has exposed fundamental limitations in von Neumann architectures due to memory bandwidth and energy constraints. Hyperdimensional (HD) computing offers a robust and parallelizable framework for such tasks, but its practical implementation remains challenged by high memory demands. Ultra-high-density, energy-efficient ferroelectric NAND (FE-NAND) memory provides a potential solution by enabling in-situ computation. We fabricate quad-level FE-NAND strings with wide memory windows, disturb resilience, and robust retention. Using these planar FE-NAND strings as building blocks, we experimentally demonstrate in-situ multi-level cell (MLC) dot product operations at the single-cell level and, using experimentally calibrated physics-based simulations, demonstrate Hamming similarity calculations between reference and query hypervectors (HV). This platform leverages the inherent error tolerance of HD computing to achieve >90% search accuracy even at high logic levels (TLC, QLC). When benchmarked on Open Modification Search (OMS) tasks in proteomics with TB-scale datasets, our system shows nearly 1,000x speedup and over 10,000x energy efficiency improvement compared to incumbent solutions. These results establish FE-NAND as a viable in-storage compute architecture for large-scale, high-dimensional data processing.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.05002",
  "author_total": 31,
  "authors": [
    {
      "name": "Prasanna Venkatesan"
    },
    {
      "name": "Tanvir H. Pantha"
    },
    {
      "name": "Po-Kai Hsu"
    },
    {
      "name": "Sumukh Pinge"
    },
    {
      "name": "Zheyu Li"
    },
    {
      "name": "Chinsung Park"
    },
    {
      "name": "Priyankka Ravikumar"
    },
    {
      "name": "Hari Jayasankar"
    },
    {
      "name": "Lance Fernandes"
    },
    {
      "name": "Weihong Xu"
    },
    {
      "name": "Zihan Xia"
    },
    {
      "name": "Flavio Ponzina"
    },
    {
      "name": "Keming Fan"
    },
    {
      "name": "Amrit Garlapati"
    },
    {
      "name": "Huy Tran"
    },
    {
      "name": "Taeyoung Song"
    },
    {
      "name": "Mengkun Tian"
    },
    {
      "name": "Hang Chen"
    },
    {
      "name": "Winston Chern"
    },
    {
      "name": "Kijoon Kim"
    },
    {
      "name": "Kwangyou Seo"
    },
    {
      "name": "Suhwan Lim"
    },
    {
      "name": "Kwangsoo Kim"
    },
    {
      "name": "Wanki Kim"
    },
    {
      "name": "Daewon Ha"
    },
    {
      "name": "Duygu Kuzum"
    },
    {
      "name": "Shimeng Yu"
    },
    {
      "name": "Mingu Kang"
    },
    {
      "name": "Tajana Rosing"
    },
    {
      "name": "Sourav Dutta"
    },
    {
      "name": "Asif Khan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3tmfcx5a3hqvk.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.05002",
  "fulltext_url": null,
  "id": "3tmfcx5a3hqvk",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.05002",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cond-mat.mes-hall"
    ],
    [
      "arxiv",
      "cond-mat.mtrl-sci"
    ],
    [
      "openalex",
      "2208|Ferroelectric and Negative Capacitance Devices"
    ]
  ],
  "openalex": "W7220656141",
  "pdf_url": "https://arxiv.org/pdf/2610.05002",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-04",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/3tmfcx5a3hqvk.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:27:01Z",
      "native_id": "2610.05002",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.05002"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.mes-hall",
      "subfield": "condensed-matter"
    }
  ],
  "title": "Multi-bit Ferroelectric-NAND for High-throughput Massive Database Search",
  "title_text": "Multi-bit Ferroelectric-NAND for High-throughput Massive Database Search",
  "type": "preprint",
  "updated_at": "2026-10-30T12:27:01Z",
  "url": "https://research.draconitic.com/paper/3tmfcx5a3hqvk",
  "venue": "arXiv",
  "versions": []
}