Hierarchical, Parallel Algorithms for Simulating Plant Response to Environmental Stress (RUI)

用于模拟植物对环境压力响应 (RUI) 的分层并行算法

• 批准号: 9723595
• 负责人: George Host
• 金额: $ 38.01万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2000-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9723595&HistoricalAwards=false
• 关键词: Hierarchical; Parallel; Algorithms; Simulating; Plant

PI: Host, George Institution: University of Minnesota Proposal # 9723595 Title: Hierarchical Parallel Algorithms for Simulating Plant Response to Environmental Stress Physiologically-based process models are powerful tools for assessing plant responses to multiple environmental stresses. They capture the intricate behavior of systems governed by non-linear feedbacks, hierarchical constraints, and interacting environmental factors. Devising efficient algorithms for simulating systems defined by thousands of individual elements, however, is a formidable challenge to computational biology. The investigators are developing a series of parallel algorithms for managing multiple computational streams to simulate growth of leaves, stems, and roots over a multi-computer network. Using the inherent hierarchical nature of plant systems, concurrent physiological processes logically nested within the three- dimensional architecture of shoot and root systems.

PI：主持人，乔治研究所：明尼苏达大学提案#9723595标题：模拟植物对环境胁迫响应的分层并行算法基于生理的过程模型是评估植物对多种环境胁迫响应的强大工具。它们捕捉了由非线性反馈、层级约束和相互作用的环境因素控制的系统的复杂行为。然而，设计有效的算法来模拟由数千个单独的元素定义的系统，对计算生物学来说是一个巨大的挑战。研究人员正在开发一系列并行算法，用于管理多个计算流，以模拟多计算机网络上叶、茎和根的生长。利用植物系统固有的层次性，并行的生理过程在逻辑上嵌套在地上部和根系的三维体系结构中。