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

题目：模拟植物对环境胁迫反应的分层并行算法生理过程模型是评估植物对多种环境胁迫反应的有力工具。它们捕获了由非线性反馈、层次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元素定义的系统，对计算生物学来说是一个艰巨的挑战。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子、茎和根的生长。利用植物系统固有的层次性，同时发生的生理过程在茎和根系统的三维结构中逻辑地嵌套。

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.