CRI II-New: Data-Parallel Platform for Large-Scale Simulation of Agent-Based Models in Systems Biology

CRI II-新：系统生物学中基于代理的模型大规模模拟的数据并行平台

• 批准号: 0855107
• 负责人: Roshan D'souza
• 金额: $ 34.99万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0855107&HistoricalAwards=false
• 关键词: CRI; II; New; Data; Parallel

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).In recent years, graphics processing units( GPUs)have emerged as a powerful alternative to CPU based computing, especially for scientific computing. However, GPUs follow the stream programming model. It is completely different from traditional serial programming and requires the invention of entirely news set of algorithms to suit the architecture.This project supports research into data-parallel algorithms to model multi-scale phenomena in biological systems using agent-based models (ABMs). ABMs capture system level behaviors of complex systems by simulating the local interactions of individual entities or agents. This project funds the acquisition of two graphics processing unit (GPU) racks and software development to support application of the previously developed algorithms in systems biology.

该奖项是根据 2009 年美国复苏和再投资法案（公法 111-5）资助的。近年来，图形处理单元 (GPU) 已成为基于 CPU 的计算的强大替代品，特别是对于科学计算。然而，GPU 遵循流编程模型。它与传统的串行编程完全不同，需要发明一套全新的算法来适应该架构。该项目支持数据并行算法的研究，以使用基于代理的模型（ABM）对生物系统中的多尺度现象进行建模。 ABM 通过模拟单个实体或代理的本地交互来捕获复杂系统的系统级行为。该项目资助购买两个图形处理单元（GPU）机架和软件开发，以支持先前开发的算法在系统生物学中的应用。