collaborators

8 papers

cs.AR2026

Cross-Domain Acceleration of Open Modification Search: From Commodity Platforms to Emerging Memory and Storage Devices

Sumukh Pinge, Chang Eun Song, Po-Kai Hsu +10

Open modification search (OMS) in mass spectrometry (MS) is a data-intensive workload whose performance is dominantly limited by reference data movement rather than computation. Pr…

cs.AR2026

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

Chang Eun Song, Sumukh Pinge, Tianqi Zhang +3

Retrieval-Augmented Generation (RAG) enhances the factual grounding of large language model (LLM) inference by retrieving relevant information from external knowledge bases. Howeve…

cs.AR2026

Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND

Weihong Xu, Junwei Chen, Po-Kai Hsu +5

Approximate nearest neighbor search (ANNS) plays an indispensable role in a wide variety of applications, including recommendation systems, information retrieval, and semantic sear…

q-bio.BM2026

HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations

Derek Jones, Jonathan E. Allen, Xiaohua Zhang +5

Publicly available collections of drug-like molecules have grown to comprise 10s of billions of possibilities in recent history due to advances in chemical synthesis. Traditional m…

cs.AR2025

HDDB: Efficient In-Storage SQL Database Search Using Hyperdimensional Computing on Ferroelectric NAND Flash

Quanling Zhao, Yanru Chen, Runyang Tian +6

Hyperdimensional Computing (HDC) encodes information and data into high-dimensional distributed vectors that can be manipulated using simple bitwise operations and similarity searc…

cs.DB2025

HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics

Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina +3

Database search and clustering are fundamental components of many data analytics problems, such as mass spectrometry-driven proteomics. Traditional full clustering and search algor…