PRISM: A Laboratory for Research in Future High-Performance Parallel Computing

该基础设施奖是为了获得一个SIMD， MIMD并行计算机，用于支持以下领域的研究 并行编程工具，编程语言，数据库， 并行优化算法，科学计算，计算机 架构、人工智能和并行模型 计算 这项研究将涉及开发 SIMD和MIMD体系结构专用的算法及其使用 这些计算机作为计算服务器， 网络 高性能计算的下一个发展将是 高速并行处理器 目前有两种主要 这些处理器的分类-单指令多处理器 多指令多数据（MIMD） 处理器. SIMD计算机执行单个序列， 所有处理元件上的指令。 每个处理 元素可能具有它正在处理的不同数据。 一个MIMD 一台计算机可能有不同的程序运行在它的每一个 处理元件可以具有它们自己的数据。 为了 开发必要的软件来利用这些计算机，这是 需要有适当的软件工具， 仪器仪表、程序开发和资源分配。 的 此类工具的开发得到了该基础设施的支持。 它 同样重要的是，要确定哪些问题在哪些问题上运行得最好， 处理器类型。 因此，这些计算机将用于研究 在人工智能、数据库和计算机架构方面， 确定这些问题域的有效算法。 最后，这些计算机是高效的数字处理器， 用于科学计算和数值优化 问题

This infrastructure award is for the acquisition of a SIMD and a MIMD parallel computer for the support of research in the areas of parallel programming tools, programming languages, databases, parallel optimization algorithms, scientific computing, computer architecture, artificial intelligence, and models of parallel computation. The research will involve both the development of algorithms specific to the SIMD and MIMD architectures and the use of these computers as compute servers over the departmental network. The next development in high performance computing will be high speed parallel processors. There are currently two main classifications of these processors-Single Instruction Multiple Data (SIMD) and Multiple Instruction Multiple Data (MIMD) processors. SIMD computers execute a single sequence of instructions on all of its processing elements. Each processing element may have different data that it is processing. A MIMD computer may have a different program running on each of its processing elements that may have their own data. In order to develop the software necessary to utilize these computers it is necessary to have in place software tools that support instrumentation, program development, and resource allocation. The development of such tools is supported by this infrastructure. It is also important to determine which problems run best on which type of processor. Thus these computers will be used in research in artificial intelligence, databases, and computer architecture in determining efficient algorithms for these problem domains. Finally, these computers are efficient numeric processors and will be used for both scientific computing and numeric optimization problems.