most citedCross-Layer Co-Designed In-Memory Hyperdimensional Computing Accelerator for Proteomics at the Edge

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cs.DB2026

SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing

Tianqi Zhang, Flavio Ponzina, Tajana Rosing

Approximate Nearest Neighbor Search (ANNS) is a fundamental operation in vector databases, enabling efficient similarity search in high-dimensional spaces. While dense ANNS has bee…

cs.DB2025★ 1 cited

Cross-Layer Co-Designed In-Memory Hyperdimensional Computing Accelerator for Proteomics at the Edge

Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina +4

Database (DB) search and clustering are fundamental to data-analytics workloads such as mass spectrometry-driven proteomics. Current workflows rely on resource-intensive search and…