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CISE Instrumentation: Acquisition of High-Performance SMPs and a High-Speed Network

CISE Instrumentation: Acquisition of High-Performance SMPs and a High-Speed Network
CISE Instrumentation:收购高性能 SMP 和高速网络
批准号:
9729828
负责人:
Vipin Chaudhary
金额:
$10.2万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-01-01 至 1998-12-31

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项目成果

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中文摘要
翻译
9729828 Chaudhary,Vipin韦恩州立大学 CISE研究仪器:ATM连接的对称多处理器集群上的高性能计算 这项研究仪器补助金用于支持购买一台Sun Enterprise 4000(带6个处理器),两个Sun Enterprises 3000(每个处理器4个),以及一个12端口交换机,带有8个ATM接口,可实现以下项目:- 在SMP集群中开发用于科学工程程序的自动优化环境(APE),-D适形放射疗法治疗计划的真实的实时优化,-用于3D锥形束断层摄影的并行技术,和-测量ATM ABR连接的资源需求。 第一个项目集成了编译时和运行时并行化技术,重点是SMP集群上的非线性下标循环。APE的实施将减少各种科学和工程应用的执行时间。第二个项目是放射治疗,目前的计算机辅助优化技术太慢或太昂贵,在临床实践中采用。 遗传算法将用于优化剂量。一个实时的成本效益的多处理器集群上的实现将使规划过程适用于临床实践。 第三个项目在低带宽的以太网上并行实现三维锥束层析成像技术遇到了瓶颈。 利用ATM提供的虚拟连通性,可以有效地实现多相广播。 从这个实现的结果将适用于其他问题,如体积成像应用和三维结构的有限元分析。最后一个项目利用来自各种应用程序的配置文件数据,使源只请求必要的带宽,并促进公平分配带宽。它将允许更好地利用网络资源,提高应用性能。
英文摘要
9729828 Chaudhary, Vipin Wayne State University CISE Research Instrumentation: High Performance Computing on an ATM-Connected Cluster of Symmetric Multiprocessors This research instrumentation grant serves to support the purchase of one Sun Enterprise 4000 (with 6 processors), two Sun Enterprises 3000 (4 processors each), and a 12-port Switch with 8 ATM interfaces which will enable the following projects:- Development of an Automatic Parallelization Environment (APE) for Scientific Engineering Programs in a Cluster of SMPs,- Real Time Optimization of #D Conformal Radiation Therapy Treatment Planning, - Parallel Techniques for 3D Cone Beam Tomography, and- Measurement of Resource Requirements for ATM ABR Connections. The first project integrates compile-time and run-time parallelization techniques focusing on loops with non-linear subscripts on a cluster of SMPs. An implementation of APE will reduce the execution time for various scientific and engineering applications. The second project serves radiation therapy where current computer assisted optimization techniques are too slow or too expensive to be adopted in clinical practice. Genetic algorithms will be used to optimize the dosage. A real-time cost effective implementation on a cluster of multiprocessors will make the planning process applicable in clinical practice. The third project encounters the bottleneck in parallel implementation of 3D Cone Beam Tomography technique on ethernet in the low bandwidth of the network. Using the virtual connectivity provided by ATM, the multiphase broadcast can be efficiently implemented. Results from this implementation will apply to other problems like volumetric imaging applications and finite element analysis of 3D structures. The last project utilizes profile data from various applications to enable sources to request just the necessary bandwidth and facilitate fair allocation of bandwidth. It will permit a better utilization of the network resources and improve the application perf ormance.
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