1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan +29
The rapid expansion of mass spectrometry (MS) data, now exceeding hundreds of terabytes, poses significant challenges for efficient, large-scale library search - a critical compone…
RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing
Sumukh Pinge, Weihong Xu, Wout Bittremieux +3
Mass spectrometry (MS) is essential for protein analysis but faces significant challenges with large datasets and complex post-translational modifications, resulting in difficultie…
SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering
Sumukh Pinge, Weihong Xu, Jaeyoung Kang +4
Mass spectrometry-based proteomics is a key enabler for personalized healthcare, providing a deep dive into the complex protein compositions of biological systems. This technology…