Equipment in Support of Parallel Processing Research

支持并行处理研究的设备

• 批准号: 9022560
• 负责人: Mark Franklin
• 金额: $ 12.7万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-04-15 至 1993-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9022560&HistoricalAwards=false
• 关键词: Equipment; Support; Parallel; Processing; Research

This award is for the upgrade of an NCUBE parallel processor to the next generation NCUBE processor. The research projects are in parallel hierarchical simulation systems for use in computer-aided design, parallel iterative algorithms for signal processing, and parallel finite element methods. The upgraded NCUBE processor is necessary in order to tackle real world problems. The computing challenge of the 90's is to put parallelism to work in solving important computational intensive problems. The next wave of super computers will be using thousands to millions of individual processors working in parallel to solve problems. There must be some mechanism to split the work up evenly amongst the processors in order to utilize parallelism to the fullest extent. This research looks at three problem domains particularly suited for parallel architectures where each processor has its own memory and executes its own program. The first project is signal processing for medical image reconstruction. It is very important the highest quality images be available for diagnostic purposes and good parallel algorithms running on a fast parallel processor are required in order to implement this medical image reconstruction technology. The second project involves the design and simulation of VLSI circuits. This is a particularly computation intensive process that is modular enough so that it can be programmed on an NCUBE processor. The upgrade is needed to run the simulations on real VLSI circuits. The final project is the exploration of a set of techniques known as finite element methods for partial differential equation solution. These techniques, when parallelized, may exhibit a prohibitive communication cost between the individual computing elements. The additional memory and better communications on the new NCUBE processor allows further exploration of these numerical solution techniques.

该奖项用于将 NCUBE 并行处理器升级为下一代 NCUBE 处理器。 研究项目涉及用于计算机辅助设计的并行分层仿真系统、信号处理的并行迭代算法以及并行有限元方法。 为了解决现实世界的问题，升级的 NCUBE 处理器是必要的。 90 年代的计算挑战是如何利用并行性来解决重要的计算密集型问题。 下一波超级计算机将使用数千到数百万个并行工作的单独处理器来解决问题。 必须有某种机制在处理器之间平均分配工作，以便最大程度地利用并行性。 这项研究着眼于三个特别适合并行架构的问题领域，其中每个处理器都有自己的内存并执行自己的程序。 第一个项目是医学图像重建的信号处理。 非常重要的是，最高质量的图像可用于诊断目的，并且需要在快速并行处理器上运行良好的并行算法才能实现这种医学图像重建技术。 第二个项目涉及VLSI电路的设计和仿真。 这是一个计算量特别大的过程，具有足够的模块化程度，因此可以在 NCUBE 处理器上进行编程。 需要进行升级才能在真实的 VLSI 电路上运行仿真。 最后的项目是探索一组称为有限元方法的偏微分方程求解技术。 这些技术在并行化时可能会在各个计算元件之间表现出过高的通信成本。 新 NCUBE 处理器上的额外内存和更好的通信允许进一步探索这些数值求解技术。