Hongtao Zhong

ORCID: 0000-0002-9639-423X
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About
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Research Areas
  • Network Packet Processing and Optimization
  • Context-Aware Activity Recognition Systems
  • Genomics and Phylogenetic Studies
  • Bluetooth and Wireless Communication Technologies
  • Machine Learning and ELM
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Ferroelectric and Negative Capacitance Devices

North Carolina State University
2024

Tsinghua University
2024

Genome sequence analysis is a powerful tool in medical and scientific research. Considering the inevitable sequencing errors genetic variations, approximate string matching (ASM) has been adopted practice for genome sequencing. However, with exponentially increasing bio-data, ASM hardware acceleration facing severe challenges improving throughput energy efficiency accuracy constraint. This paper presents ASMCap, an approach hardware-algorithm co-optimization. At circuit level, ASMCap adopts...

10.48550/arxiv.2302.07478 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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