A Gigabits/s, VIA-Enabled Cluster Arch. for Res. in High Performance Systems Software, Scalable Knowledge Discovery, Visualization, and Parallel Planning under Uncertainty

9818489 Skjellum，AnthonyHodges，JuliaMississippi State University千兆位/秒、支持VIA的群集架构，用于高性能系统软件、可扩展知识发现、可视化和不确定条件下的并行规划研究此研究工具支持以下领域的研究项目：- 多粒度并行处理，-可扩展的知识发现，-用于计算场模拟的并行体积可视化，和-马尔可夫模型规划的并行处理。并发是计算科学的几个领域的重要使能技术，释放新科学的潜力 这项研究仪器的建议汇集了三个innovativecomputational活动，以及第四个研究活动，提高并行处理环境，符号和服务的能力和理解。 密西西比州立大学计算机科学系的六名研究人员从事以下项目：用于多粒度并行处理的增强的基础设施（包括MPI、MPI-2和MPI/RT的扩展），可扩展的知识发现（人工智能加高性能计算，实现自动文档分类和无监督学习算法），用于计算场仿真的并行体积可视化马尔可夫模型规划的并行处理（研究不确定性下规划精确解的快速算法）。 为了实现这一新的科学，一个并行处理集群，包括30个，双向SMP奔腾II系统组装，连同多个高速网络，其中一个支持低处理器开销和高带宽的虚拟接口架构。 商业级的消息传递软件（MPI）和调度软件被用来提供一个生产环境下的Windows NT立即，补充研究实验，涉及并行处理，进一步使环境随着时间的推移，包括部分时间基于Linux的操作。

9818489Skjellum, AnthonyHodges, JuliaMississippi State UniversityA Gigabit/s, VIA-Enabled Cluster Architecture for Research in HighPerformance Systems Software, Scalable Knowledge Discovery, Visualization,and Parallel Planning under UncertaintyThis research instrumentation enables research projects in:- Multi-Grain Parallel Processing,- Scalable Knowledge Discovery,- Parallel Volume Visualization for Computational Field Simulation, and- Parallel Processing for Markov Model Planning.Concurrency is an important enabling technology for several areas of computational science, unlocking the potential for new science. This research instrumentation proposal brings together three innovativecomputational activities together with a fourth research activity that enhances the capability and understanding of parallel processing environments, notations, and services. Six investigators at MississippiState University, Department of Computer Science, undertake the following projects: enhanced infrastructure for multi-grain parallel processing (including extensions to MPI, MPI-2, and MPI/RT), scalable knowledgediscovery (artificial intelligence plus high performance computing to achieve automatic document classification and unsupervised learning algorithms), parallel volume visualization for computational fieldsimulation, and parallel processing for Markov Model Planning (study of fast algorithms for exact solutions to planning under uncertainty). To achieve this new science, a parallel processing cluster, consisting of thirty, two-way SMP Pentium II systems is to be assembled, together with multiple high speed networks, one of which supports the Virtual Interface Architecture for low processor overhead and high bandwidth. Commercial-grade message passing software (MPI) and scheduling software are used to provide a production environment under Windows NT immediately, in complement to the research experiments involving parallel processing that further enable the environment over time, including part-time Linux-based operation.