ITR: Integrated Design of High-Performance Clustered Computing Systems and Algorithms for Large Scale Finite Element Simulation

对于大规模仿真问题，经验表明，尽管微处理器和并行计算技术发展迅速，但通常只实现了高性能计算系统的一小部分峰值性能。这是因为高性能计算系统的体系结构与目标模拟的基本结构之间通常存在严重的不匹配。这显然是一个对信息技术至关重要的问题。它代表了系统级设计学科的机遇和挑战，针对高性能计算的专用架构，以及大规模工程和软件应用程序的算法和数据结构设计。因此，本项目将研究为高性能应用设计系统和算法的系统方法。在系统设计方面，该项目将专注于专门的十亿晶体管芯片多处理器架构，以及根据应用需求量身定制的分层分布资源组织。在算法和应用方面，将重点关注有限元模拟应用，包括半导体器件设计和耦合流动和传热过程的代表性问题。

For large-scale simulation problems, experience shows that, despite the rapid evolution of microprocessor and parallel computing technology, only a small fraction of peak performance from high-performance computing systems is generally realized. This is so because there are typically critical mismatches between the architecture of high-performance computing systems and the fundamental structure of the target simulations. This is clearly a problem of critical importance to information technology. It represents both an opportunity and a challenge to the disciplines of system-level design, targeting special-purpose architectures for high-performance computing, and algorithm and data structure design for large-scale engineering and software applications. Accordingly, this project will investigate systematic methodologies for designing the systems and algorithms for high performance applications. On the system design side, the project will focus on specialized billion-transistor chip multiprocessor architectures and a hierarchically distributed organization of resources tailored to the needs of the application. On the algorithm and application side, it will focus on finite element simulation applications, including representative problems from semiconductor device design and coupled flow and heat transfer processes.