Adapting the Bulk Synchronous Parallel processing model to Peer-to-Peer Networked Computing

将批量同步并行处理模型应用于点对点网络计算

• 批准号: DP0451936
• 负责人: A/Prof Aaron Harwood
• 金额: $ 10.45万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-01-13 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0451936
• 关键词: Adapting; Bulk; Synchronous; Parallel; processing

Advances in distributed computing have shown that data parallel and parametric applications domains are amenable to wide area distribution. The project will advance the Bulk Synchronous Parallel processing model to describe innovative applications from the loosely synchronous domain, e.g. fluid dynamics, strategy algorithms and N-body problems are challenges that have significant scientific and industrial value. The project specializes the exciting peer-to-peer paradigm, a frontier of inter-networking technology. By using the latest techniques and taking advantage of the technology implosion caused by low cost parallel infrastructure, the project outcomes will give Australia a strong position in the future of parallel technology.

分布式计算的发展表明，数据并行和参数化应用领域适用于广域分布。该项目将推进批量同步并行处理模型，以描述松散同步领域的创新应用，例如流体动力学、策略算法和n体问题是具有重大科学和工业价值的挑战。该项目专注于令人兴奋的点对点范式，这是互联网络技术的前沿。通过使用最新技术并利用低成本并行基础设施带来的技术内爆，项目成果将使澳大利亚在未来的并行技术中占据强势地位。