CISE Research Instrumentation: Symmetric Multiprocessor for Research on Parallel Architecture, Compiler, Applications and On-Demand Network-Computing

9617372 Fortes, Jose A. Eigenmann，鲁道夫普渡大学CISE研究仪器：面向并行结构研究的对称多处理器，编译器，应用和按需网络计算这项研究仪器资助使两所大学在四个研究领域进行合作：-用于高性能计算的分层处理器和内存体系结构-高级程序分析和编译基础设施-大型（Petaflop）计算应用的表征-基于网络的计算中心的元编程和按需元计算。这个项目的重点是推进国家的艺术在四个方面:高性能计算,高性能计算机的设计能每秒处理100万亿次操作(例如100上衣),——先进的分析工具和编译程序的执行多个处理器的机器上,——应用程序的描述,需要计算100 - 1000上衣和基于网络的软件基础设施的设计,允许使用通过传统的网络浏览器连接计算机和程序（即元计算机和元程序）。目前正在研究的主要观点正在通过广泛的计算实验和计算机模拟得到验证。用这笔赠款提供的资金购买的设备提供了本项目实验部分的计算速度、内存、存储和通信需求，否则这些都是不可能的，或者需要很长时间才能完成。对称多处理器的可用性使得实验成为可能，这对于验证本项目所追求的研究思想和结果至关重要。这项工作是由普渡大学和西北大学的研究人员合作进行的。

9617372 Fortes, Jose A. Eigenmann, Rudolf Purdue University CISE Research Instrumentation: Symmetric Multiprocessor for Research on Parallel Architecture, Compiler, Applications and On-demand Network-computing This research instrumentation grant enables collaboration between two universities in four areas of research:-Hierarchical Processor-and-Memory Architecture for-High Performance Computing - An Advanced Program Analysis and Compilation Infrastructure- Characterization of Large (Petaflop) Computational Applications - Metaprogramming and On-demand Metacomputing for Network-based Computational Hubs. The focus of this project is on advancing the state of the art in high-performance computing on the four fronts:- the design of high-performance computers capable of 100 trillion operations per second (i.e. 100 TOPS),- advanced tools for analysis and compilation of programs for execution on machines with multiple processors,- the characterization of applications that require computation rates of 100-1000 TOPS and- the design of a network-based software infrastructure that allows the use of linked computers and linked programs (i.e., metacomputers and metaprograms) through conventional network browsers. The main ideas currently under investigation are being validated through extensive computational experiments and computer simulations. The equipment acquired with the funds provided by this grant provides the computational speed, memory, storage and communication demands of the experimental component of this project which would otherwise not be possible or take unacceptably long times to perform. The experimentation made possible by the availability of a symmetric multiprocessor is essential to the validation of research ideas and results pursued in this project. This work is being carried collaboratively by researchers at Purdue University and Northwestern University.