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- W289318832 abstract "Biosequence similarity search is an important application in computational biology. Mercury BLASTN, an FPGA-based implementation of BLAST for DNA, is one of the alternatives for fast DNA sequence comparison. The re-design of BLAST into a streaming application combined with a high-throughput hardware pipeline have enabled Mercury BLAST to emerge as one of the fastest implementations of bio-sequence similarity search. This performance can be further enhanced by exploiting the data-level parallelism present within the application. Here we present a multiple FPGA-based Mercury BLASTN design in order to double the speed and throughput of DNA sequence computation. This paper describes a dual Mercury BLASTN design, the detailed design of the split and merge functions, and simulation results. Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 1 Split and Merge Functions for Supporting Multiple Processing Pipelines in Mercury BLASTN Jwalant Ahir, Jeremy Buhler, and Roger D. Chamberlain BECS Technology, Inc., St. Louis, MO Dept. of Computer Science and Engineering, Washington University, St. Louis, MO" @default.
- W289318832 created "2016-06-24" @default.
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- W289318832 date "2010-01-01" @default.
- W289318832 modified "2023-09-23" @default.
- W289318832 title "Split and Merge Functions for Supporting Multiple Processing Pipelines in Mercury BLASTN" @default.
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- W289318832 doi "https://doi.org/10.7936/k7nc5zds" @default.
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