Pioneering real-time genomic analysis by in-memory computing

IF 18.3 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Kaichen Zhu, Mario Lanza
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引用次数: 0

Abstract

Rapid identification of pathogenic viruses remains a critical challenge. A recent study advances this frontier by demonstrating a fully integrated memristor-based hardware system that accelerates genomic analysis by a factor of 51, while reducing energy consumption to just 0.2% of that required by conventional computational methods.

Abstract Image

首创实时基因组分析的内存计算。
快速鉴定致病病毒仍然是一项重大挑战。最近的一项研究推进了这一前沿,展示了一种完全集成的基于忆阻器的硬件系统,该系统将基因组分析的速度提高了51倍,同时将能耗降低到传统计算方法所需的0.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.70
自引率
0.00%
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0
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