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Author

Min-Gu Kang

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Preprint Oct 2026

Multi-bit Ferroelectric-NAND for High-throughput Massive Database Search

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...

Prasanna Venkatesan, T. Pantha, Po-Kai Hsu et al. · 0 citations
Jul 2026

D-NOVA: In-Storage Retrieval Accelerator via Dual-Bound 3D NAND-Optimized Similarity Search with Vector Adaptation

D-NOVA is a hardware-software co-designed in-storage retrieval accelerator that executes an inverted file (IVF)-based hierarchical retrieval pipeline by deeply embedding the search functionality directly into the NAND memory array, and introduces a lightweight contrastive adapter that maps embedding vectors into a DTS-...

Chang Eun Song, Sumukh Pinge, Tian-Qi Zhang et al. · 0 citations

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