Toward a Generalized Accelerator for Genome Sequence Analysis.

This article details the current state of hardware accelerators for dynamic programming (DP) algorithms for genomics applications with a look at Gu et al.’s work in “GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis” which aims to improve adaptability of these acc...

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Publicado en:Communications of the ACM Vol. 68; no. 5; pp. 80 - 81
Autor principal: Turakhia, Yatish
Formato: Opinion
Publicado: Association for Computing Machinery May2025
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Toward a Generalized Accelerator for Genome Sequence Analysis.
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        au: Turakhia, Yatish
        affil: University of California San Diego, Department of Electrical and Computer Engineering, San Diego, CA, USA
      su:
        Genomics
        Dynamic programming
        Sequence analysis
        Algorithms
        Application-specific integrated circuits
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        subj:
          Genomics
          Dynamic programming
          Sequence analysis
          Algorithms
          Application-specific integrated circuits
      ab: This article details the current state of hardware accelerators for dynamic programming (DP) algorithms for genomics applications with a look at Gu et al.’s work in “GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis” which aims to improve adaptability of these accelerators. This article touches upon Gu et al’s summary of the three limited structural variations in DP kernels as well as details the two major components of GenDP- a programmable DP accelerator and a graph-partitioning algorithm.
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      doctype: Opinion
      src: R
    language: English
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