Phylogenetic Analysis and Simulations on Massively Parallel Computers

大规模并行计算机的系统发育分析和模拟

• 批准号: 9221052
• 负责人: David Hillis
• 金额: $ 23.99万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-02-15 至 1997-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9221052&HistoricalAwards=false
• 关键词: Phylogenetic; Analysis; Simulations; Massively; Parallel

This research is being conducted by Dr. David M. Hillis, a molecular biologist from the University of Texas. Dr. Hillis is well known for his studies relating to DNA sequence analysis. The current research is a natural extension of Dr. Hillis' past work and represents a major innovation, linking the utilization of parallel computers with a need for the development of more efficient software for analyzing the increasing amount of nucleotide sequence data. Software for DNA sequence analysis is being modified and developed for massively parallel computers in an effort to increase computation speed and enhance the assessment of available computer algorithms. Supercomputer manufacturers are currently emphasizing massively parallel architecture, and even smaller highly parallel computers are under production and/or developed. The development of software for biological analysis will contribute to both the scientific community and the newly emerging parallel computer industry.

这项研究由德克萨斯大学的分子生物学家大卫·M·希利斯博士进行。希利斯博士以其与DNA序列分析相关的研究而闻名。目前的研究是希利斯博士过去工作的自然延伸，代表着一项重大创新，它将并行计算机的利用与开发更有效的软件以分析日益增长的核苷酸序列数据的需求联系在一起。正在为大规模并行计算机修改和开发DNA序列分析软件，以努力提高计算速度和加强对现有计算机算法的评估。超级计算机制造商目前正在强调大规模并行体系结构，甚至更小的高度并行的计算机正在生产和/或开发中。生物分析软件的开发将对科学界和新兴的并行计算机工业作出贡献。