CISE Instrumentation: Acquisition of High-Performance SMPs and a High-Speed Network
CISE Instrumentation: Acquisition of High-Performance SMPs and a High-Speed Network
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
中文摘要
9729828 Vipin Wayne州立大学Chaudhary,Vipin Wayne州立大学Cise研究仪器:在ATM连接的对称多处理器集群上进行高性能计算这项研究仪器赠款用于支持购买一台Sun Enterprise 4000(带有6个处理器)、两台Sun Enterprise 3000(各有4个处理器)和一个带有8个ATM接口的12端口交换机,这将使以下项目成为可能:-为SMPS集群中的科学工程程序开发自动并行环境(APE),-实时优化#D适形放射治疗计划,-3D锥束断层扫描的并行技术,以及-ATM ABR连接的资源需求测量。第一个项目集成了编译时和运行时并行化技术,重点关注SMP集群上具有非线性下标的循环。APE的实现将减少各种科学和工程应用程序的执行时间。第二个项目服务于放射治疗,目前的计算机辅助优化技术太慢或太昂贵,无法在临床实践中采用。将使用遗传算法对剂量进行优化。在多处理器集群上的实时成本效益实施将使规划过程在临床实践中适用。第三个项目在网络带宽低的情况下,遇到了三维锥束层析成像技术在以太网上并行实现的瓶颈。利用ATM提供的虚拟连接,可以有效地实现多阶段广播。这一实施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,使来源能够只请求必要的带宽,并促进带宽的公平分配。它将允许更好地利用网络资源,提高应用程序性能。
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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