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MICRO2023顶会

GMX: Instruction Set Extensions for Fast, Scalable, and Efficient Genome Sequence Alignment

Max Doblas, Oscar Lostes-Cazorla, Quim Aguado-Puig, Nick Cebry, Pau Fontova-Musté, Christopher Frances Batten, Santiago Marco-Sola, Miquel Moretó

2023年份
11被引次数
2顶会引用

摘要

Sequence alignment remains a fundamental problem in computer science with practical applications ranging from pattern matching to computational biology. The ever-increasing volumes of genomic data produced by modern DNA sequencers motivate improved software and hardware sequence alignment accelerators that scale with longer sequence lengths and high error rates without losing accuracy. Furthermore, the wide variety of use cases requiring sequence alignment demands flexible and efficient solutions that can match or even outperform expensive application-specific accelerators.

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